9814 Tensorflow Jobs - Page 41

We are looking for a passionate and technically strong AI R&D Engineer to join our Artificial Intelligence research and dev team. The ideal candidate will have a solid academic foundation in mathematics and computing, along with strong programming skills and experience or interest in machine learning, NLP, and generative AI technologies. You will work closely with senior engineers to prototype, evaluate, and deploy intelligent systems that impact real-world applications. Candidate Profile Education M.Tech or 5-Year Integrated PG Program in Theoretical Computer Science / Computational Maths / Data Science / AI B.E./B.Tech in Computer Science from reputed colleges (JEE Main Percentile above 97) and CGPA ≥ 9.0 / 10.0 (or equivalent on any gradepoint scale) Technical Skills & Competencies • Strong foundation in statistics, algorithms, and data structures • Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch) • Strong AI and Machine learning foundations • Experience with SQL and NoSQL databases • Skilled in building Flask APIs for AI services • Exposure to Agile/Scrum development culture • Up-to-date on recent trends and tools in AI/NLP Project Work - Good to Have (Illustrative List) In absence of experience, candidate can demosntrate relevant skills through projects as part of course work. 1. Final-Year Project – “Credit-Default Prediction on Consumer-Loan Portfolios” - Built end-to-end MLOps pipeline (feature store → model registry → Docker deployment on AWS) - Achieved AUC-ROC of 0.88, outperforming baseline by 6 percentage points 2. Deep-Learning Lab Project – Image-Based Deforestation Detection (2024) - Used ResNet34 + Grad-CAM for model explainability 3. NLP Hackathon – Indic Sentiment Analysis (2023) - Fine-tuned multilingual BERT model What You’ll Gain • Opportunity to work on meaningful AI research and product features • Mentorship from experienced AI/ML practitioners • Hands-on exposure to building and deploying intelligent AI systems • Platform to publish or present work in internal forums

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. DigitalOcean (NYSE: DOCN) simplifies cloud computing so builders can spend more time creating software that changes the world. With our mission-critical infrastructure and fully managed offerings, DigitalOcean enables startups and small and medium-sized businesses (SMBs) to rapidly deploy and scale modern applications. As a remote-first organization, our employees, like our customers, are based around the world. We are looking for a Associate Cloud Support Engineer for our GPU product with expertise in cloud infrastructure to support the acquisition, growth, and retention of our high-value customers, focusing on the exciting and cutting-edge space of Artificial Intelligence / Machine Learning, while also being the first point of technical escalation from our Support Team. Our support team offers some of the best customer and technical support in our field, and we’re looking for smart, empathetic, and motivated individuals to grow with us. Working directly with our AI/ML teams, the Cloud Support Engineer will be the technical subject matter expert advising on best practices and guiding customers to the optimal solution to meet their business objectives. The Cloud Support Engineer will work closely with other functions within Paperspace & DigitalOcean such as Product, Engineering, and Operations to ensure the company is meeting the needs and insights of our AI/ML customers. Technical depth, excellent communication skills, and a self-starter mentality are needed. Day to day, we expect this role to be speaking with our High-Value customers around the world, highlighting Digital Ocean’s AI platform and taking a hands-on approach if needed to onboard and support customers, being a conduit to the engineering team to convey the needs of our AI/ML customers, and working on Professional Services contracts to build out AI/ML solutions from scratch. We also expect this role to be the first point of escalation for the Support Team to solve complex technical issues. What You Will Be Doing Develop deep expertise on the Paperspace/Digital Ocean product portfolio and the evolving Cloud landscape with a key focus on our AI/ML offerings Liaise with support and engineering teams to ensure customer escalations and obstacles to growth are resolved in a timely fashion Work directly with Customer Success to ensure the expansion and retention of businesses as they build on top of our cloud Drive adoption from high-value customers as a key part of the business expansion process through technical consultation on multiple channels (e.g. video calls, email, Slack) Build out full AI/ML solutions for customers who work with DO’s professional services offering Diagram and plan infrastructure architecture to support specific use cases, and comfortably explain in detail Working both collaboratively and independently within a team setting (we love Slack!) Conduct demonstrations to clients clearly articulating DigitalOcean product benefits and functionality Contribute to internal and external technical documentation Provide technical training to enable our teams and our partners Identify and communicate process improvement suggestions, drive technical best practices within the organization, and communicate customer feedback and trends into the product lifecycle process Work both independently and collaboratively with a Global team of highly talented Solutions Engineers Partner with Engineering to identify, track, and resolve bugs Contribute to external Help Center and internal Knowledge Base and add to the documentation Triaging, escalating, prioritizing, and following up with incidents or customer-impacting events Making informed decisions to solve issues that balance the needs of customers and the company Sharing best practices, and knowledge and improving your team while seeking the same in return. What We'll Expect From You Strong troubleshooting skills Deep Knowledge of Bare Metal and Virtualized environments Experience working in a pre-sales / Technical Support/Consultant role preferably in a SaaS/startup with a passion for customer experience Highly empathetic team members who are great at communicating complex information in a digestible format to Support Specialists and customers at all knowledge levels Deep knowledge of Linux and distributed systems ie: Tools like ssh, scp, rcopy, df, systemctl, journalctl, dmesg, nvidia-smi, strace, dtrace Understand package configuration, versioning and update process on Linux Understand linux networking stack configuration for server and desktop versions of Linux Understand the basics of setting up and using NFS clients and servers Debug and configure python and python-based ML tools. Update and verify Nvidia & AMD device drivers Use docker-ce and container tools as a user. Proven professional experience with cloud infrastructure experience, or equivalent education Deep Knowledge of Networking Concepts and troubleshooting - TCP/IP, computer networking, routing, and switching Deep understanding and experience of a variety of AI/ML solutions from computer vision to LLMs, to speech-to-text Ability to take an AI/ML idea from model development, to testing, to deployment, to monitoring and managing Familiarity with data-parallel and model parallel techniques, such as Tensorflow Distributed, DDP, Distributed Pytorch. Programming/development experience Knowledge of provisioning and deployment strategies and tools Track record of developing successful technical solutions to business problems for clients Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations Passionate about technology and open-source projects Quickly learn DigitalOcean systems and adapt to rapid changes Highly motivated with a self-starter mentality Extra Credit Cloud certifications are highly desired Programming/Scripting: Ruby, Python, Go, Bash Source Code: Git Automation: Terraform, Ansible, Chef, Puppet, Saltstack Virtualization: KVM, Xen Databases: MongoDB, MySQL, Redis, PostgreSQL Open Source: CoreOS, Docker, Kubernetes, Vagrant DigitalOcean/Paperspace: API, libraries, services Why You’ll Like Working For DigitalOcean We reward our employees. The salary range for this position is based on relevant years of experience and skills. Employees may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees including grants of equity upon hire and the option to participate in our Employee Stock Purchase Program. We value development. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that is always challenging our teams and employees to continuously grow. We maintain a growth mindset in everything we do and invest deeply in employee development through formalized mentorship and other internal programs. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. In addition to cash and equity compensation, we also offer employees a competitive array of benefits. While the philosophy around our benefits is the same worldwide, specific benefits may vary in other countries due to local regulations and preferences. We value diversity and inclusivity. We are an equal-opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Senior AI Research Scientist Location: Sector 63, Gurgaon – On‑site Working Days: Monday to Saturday (2nd and 4th Saturdays are working) Working Hours: 10:30 AM – 8:00 PM Experience: 6–10 years in applied AI/ML research, with multiple publications or patents and demonstrable product impact Apply: careers@darwix.ai Subject Line: Application – Senior AI Research Scientist – [Your Name] About Darwix AI Darwix AI is a GenAI SaaS platform that powers real‑time conversation intelligence, multilingual coaching, and behavioural analytics for large revenue and service teams. Our products— Transform+ , Sherpa.ai , and Store Intel —integrate speech‑to‑text, LLM‑driven analysis, real‑time nudging, and computer vision to improve performance across BFSI, real estate, retail, and healthcare enterprises such as IndiaMart, Wakefit, Bank Dofar, GIVA, and Sobha. Role Overview The Senior AI Research Scientist will own the end‑to‑end research agenda that advances Darwix AI’s core capabilities in speech, natural‑language understanding, and generative AI. You will design novel algorithms, convert them into deployable prototypes, and collaborate with engineering to ship production‑grade features that directly influence enterprise revenue outcomes. Key ResponsibilitiesResearch Leadership Formulate and drive a 12‑ to 24‑month research roadmap covering multilingual speech recognition, conversation summarisation, LLM prompt optimisation, retrieval‑augmented generation (RAG), and behavioural scoring. Publish internal white papers and, where strategic, peer‑reviewed papers or patents to establish technological leadership. Model Development & Prototyping Design and train advanced models (e.g., Whisper fine‑tunes, Conformer‑RNN hybrids, transformer‑based diarisation, LLM fine‑tuning with LoRA/QLoRA). Build rapid prototypes in PyTorch or TensorFlow; benchmark against latency, accuracy, and compute cost targets relevant to real‑time use cases. Production Transfer Work closely with backend and MLOps teams to convert research code into containerised, scalable inference micro‑services. Define evaluation harnesses (WER, BLEU, ROUGE, accuracy, latency) and automate regression tests before every release. Data Strategy Lead data‑curation efforts: multilingual audio corpora, domain‑specific fine‑tuning datasets, and synthetic data pipelines for low‑resource languages. Establish annotation guidelines, active‑learning loops, and data quality metrics. Cross‑Functional Collaboration Act as the principal technical advisor in customer POCs involving custom language models, domain‑specific ontologies, or privacy‑sensitive deployments. Mentor junior researchers and collaborate with product managers on feasibility assessments and success metrics for AI‑driven features. Required Qualifications 6–10 years of hands‑on research in ASR, NLP, or multimodal AI, including at least three years in a senior or lead capacity. Strong publication record (top conferences such as ACL, INTERSPEECH, NeurIPS, ICLR, EMNLP) or patents showing applied innovation. Expert‑level Python and deep‑learning fluency (PyTorch or TensorFlow); comfort with Hugging Face, OpenAI APIs, and distributed training. Proven experience delivering research outputs into production systems with measurable business impact. Solid grasp of advanced topics: sequence‑to‑sequence modelling, attention mechanisms, LLM alignment, speaker diarisation, vector search, on‑device optimisation. Preferred Qualifications Experience with Indic or Arabic speech/NLP, code‑switching, or low‑resource language modelling. Familiarity with GPU orchestration, Triton inference servers, TorchServe, or ONNX runtime optimisation. Prior work on enterprise call‑centre datasets, sales enablement analytics, or real‑time speech pipelines. Doctorate (PhD) in Computer Science, Electrical Engineering, or a closely related field from a Tier 1 institution. Success Metrics Reduction of transcription error rate and/or inference latency by agreed percentage targets within 12 months. Successful deployment of at least two novel AI modules into production with adoption across Tier‑1 client accounts. Internal citation and reuse of developed components in other product lines. Peer‑recognised technical leadership through mentoring, documentation, and knowledge sharing. Application Process Send your résumé (and publication list, if separate) to careers@darwix.ai with the subject line indicated above. Optionally, include a one‑page summary of a research project you transitioned from lab to production, detailing the problem, approach, and measured impact. Joining Darwix AI as a Senior AI Research Scientist means shaping the next generation of real‑time, multilingual conversational intelligence for enterprise revenue teams worldwide. If you are passionate about applied research that moves the business needle, we look forward to hearing from you.

Founding AI Engineer Location: Sector 63, Gurgaon – On‑site Working Days: Monday to Saturday (2nd and 4th Saturdays are working) Working Hours: 10:30 AM – 8:00 PM Experience: 4 – 8 years of hands‑on AI/ML engineering in production environments Apply: careers@darwix.ai Subject Line: Application – Founding AI Engineer – [Your Name] About Darwix AI Darwix AI is a GenAI SaaS platform transforming how enterprise revenue and service teams operate. Our products— Transform+ , Sherpa.ai , and Store Intel —deliver multilingual speech‑to‑text, live coaching nudges, behavioural scoring, and computer‑vision insights for clients such as IndiaMart, Wakefit, Bank Dofar, Sobha, and GIVA. Backed by leading investors and built by IIT/IIM/BITS alumni, we are expanding rapidly across India, MENA, and Southeast Asia. Role Overview As the Founding AI Engineer , you will own the design, development, and deployment of Darwix AI’s core machine‑learning and generative‑AI systems from the ground up. You will work directly with the CTO and founders to convert ambitious product ideas into scalable, low‑latency services powering thousands of live customer interactions daily. This is a zero‑to‑one, high‑ownership role that shapes the technical backbone—and the culture—of our AI organisation. Key Responsibilities End‑to‑End Model Build & Deployment Architect, train, and fine‑tune multilingual speech‑to‑text, diarisation, NER, summarisation, and scoring models (Whisper, wav2vec 2.0, transformer‑based NLP). Design RAG pipelines and prompt‑engineering frameworks with commercial and open‑source LLMs (OpenAI, Mistral, Llama 2). Build GPU/CPU‑optimised inference micro‑services in Python/FastAPI with strict latency budgets. Production Engineering Implement asynchronous processing, message queues, caching, and load balancing for high‑concurrency voice and text streams. Establish CI/CD, model versioning, A/B testing, and automated rollback for ML APIs. Data Strategy & Tooling Define data‑collection, labelling, and active‑learning loops; build pipelines for continuous model improvement. Create evaluation harnesses (WER, ROUGE, AUROC, latency) and automate nightly regression tests. Security & Compliance Implement role‑based access, encryption‑at‑rest/in‑transit, and audit logging for all AI endpoints. Ensure adherence to enterprise infosec requirements and regional data‑privacy standards. Cross‑Functional Collaboration Partner with product managers to translate customer pain points into technical requirements and success metrics. Work with backend, DevOps, and frontend teams to expose AI outputs via dashboards, APIs, and real‑time agent assist overlays. Technical Leadership Establish coding standards, documentation templates, and peer‑review culture for the AI team. Mentor junior engineers as the team scales; influence hiring and tech‑stack decisions. Required Skills & Qualifications 4 – 8 years building and deploying ML systems in production (audio, NLP, or LLM focus). Expert‑level Python; strong grasp of PyTorch (or TensorFlow), Hugging Face Transformers, and data‑processing libraries. Proven record of optimising inference pipelines for sub‑second latency at scale. Hands‑on experience with cloud infrastructure (AWS or GCP), Docker/Kubernetes, and CI/CD for ML. Deep understanding of REST/gRPC APIs, security best practices, and high‑availability architectures. Ability to articulate trade‑offs and align technical decisions with business outcomes. Preferred Experience Prior work on Indic or Arabic speech/NLP, code‑switching, or low‑resource language modelling. Familiarity with vector databases (Pinecone, FAISS), Redis Streams/Kafka, and GPU orchestration (Triton, TorchServe). Exposure to sales‑tech, call‑centre analytics, or real‑time coaching platforms. Contributions to open‑source AI projects or relevant peer‑reviewed publications. Success Metrics (First 12 Months) ≥ 25 % reduction in transcription error rate or latency across core languages. Two net‑new AI modules shipped to production and adopted by Tier‑1 clients. Robust CI/CD and monitoring pipelines in place with < 1 % model downtime. Documentation and onboarding playbooks enabling AI team headcount to double without quality loss. Who You Are A builder who takes ideas from whiteboard to production with minimal supervision. A systems thinker who balances algorithmic innovation with engineering pragmatism. A hands‑on leader who codes, mentors, and sets the technical bar through example. A product‑centric technologist who obsesses over user impact, not benchmark vanity. A lifelong learner who follows the bleeding edge of GenAI and applies it wisely. How to Apply Email your résumé to careers@darwix.ai with the subject line specified above. Optionally, include a brief note detailing an AI system you have designed and deployed, the challenges faced, and the measurable impact achieved. Joining Darwix AI as the Founding AI Engineer means taking ownership of the platform that will redefine how revenue teams worldwide leverage real‑time intelligence. If you are ready to build, scale, and lead at the frontier of GenAI, we look forward to hearing from you.

Internship Opportunity: IoT & AI Intern Location: NASSCOM Center of Excellence for IoT & AI, Gurugram Duration: 3 Months Stipend: Unpaid (Experience Certificate Provided) Opportunity for Job Offer: Yes, based on performance About Bharat Ecolabs Bharat Ecolabs is a cleantech innovation startup focused on developing next-generation environmental technologies. We are currently designing a smart, modular range of Packaged Sewage Treatment Plants (STPs) and are integrating advanced IoT and AI capabilities for remote monitoring, process optimization, and predictive maintenance. Role Overview We are seeking a highly motivated and hands-on IoT & AI Intern to support the development and integration of sensor networks, data pipelines, and AI models for our STP systems. The intern will work out of the NASSCOM Center of Excellence (CoE) for IoT & AI, Gurugram , and collaborate with our core engineering team. Key Responsibilities Assist in the design and development of IoT-enabled sensor and control systems for STPs. Build and test data acquisition modules using sensors for flow rate, pH, turbidity, TDS, and DO. Develop cloud-based or edge data pipelines for real-time monitoring and remote diagnostics . Support the development of AI/ML models for fault detection, efficiency optimization, and anomaly prediction. Contribute to dashboards or mobile interfaces for STP data visualization and alerts. Conduct testing and debugging of IoT prototypes on pilot installations. Ideal Candidate Profile Final year student or recent graduate in Electronics, Computer Science, AI, Mechatronics , or related fields. Hands-on experience with microcontrollers (Arduino, ESP32, Raspberry Pi) . Familiarity with sensor integration , basic electronics, and communication protocols (MQTT, Modbus, LoRa, etc.). Working knowledge of Python , basic ML libraries (scikit-learn, TensorFlow, etc.) , and cloud platforms (AWS, Azure, or GCP) . Strong problem-solving skills and a passion for applying tech in real-world clean tech solutions. What We Offer Real-world exposure to applied IoT and AI in environmental engineering. Mentorship from a passionate founding team and access to the NASSCOM CoE ecosystem. A formal Experience Certificate upon successful completion. A chance to convert the internship into a full-time role based on performance and mutual interest.

What You’ll Do: Design and deploy AI-ML models for real-world applications (NLP, CV, etc) Work on end-to-end pipelines: data preprocessing to inference Contribute to both client solutions and internal product features You Should Have: 3+ years of hands-on ML/AI development experienc eExperience with libraries like scikit-learn, PyTorch, TensorFlow, HuggingFac eExperience in deploying models using FastAPI or simila r What You’ll Do : Work From Home Fir st (local presence preferred for occasional project-based meet s)Startup Ownersh ip: You’ll work closely with the founders and decision-make rsGrowth-Focused Environme nt: You grow, we gro w . Compensatio n: Competitive Sal ary based on experience and skill setOpportun ity to shape products from scratch in a high-impact environm ent 💡 If you're passionate about tech and want to build meaningful AI-powered solutions in a dynamic startu p — we'd love to hear from you!

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 28th July 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

singlePosition View All Jobs Senior AI Solutions - Vice President - Data & Analytics Engineering Mumbai, Maharashtra, Inde Apply Now Find out how well you match with this job Upload your resume Job description Employment Type Full time Job Level Vice President Posted Date Jul 27, 2025 Morgan Stanley Senior AI Solutions - Vice President - Data & Analytics Engineering Profile Description We’re seeking someone to join our team as Vice President- Senior AI Solutions. The Firmwide Data Office department is recruiting for an enthusiastic, dynamic, hands-on and delivery focused AI Solutions Engineer with a strong background in working with Generative AI(GenAI), Large Language Models (LLMs), traditional AI, and Natural Language Processing (NLP) techniques. The ideal candidate, in addition to experience in data science, will possess expertise in designing, architecting, and optimising data-intensive systems, with a keen focus on big data analytics. This role offers exciting opportunity to work on cutting-edge projects leveraging LLMs with large volumes of structured and unstructured data as well as building and integrating Knowledge Graph, LLMs and Multiagent systems. CDRR_Technology The Cybersecurity organization's mission is to create an agile, adaptable organization with the skills and expertise needed to defend against increasingly sophisticated adversaries. This will be achieved by maintaining sound capabilities to identify and protect our assets, proactively assessing threats and vulnerabilities and detecting events, ensuring resiliency through our ability to respond to and recover from incidents and building awareness and increase vigilance while continually developing our cyber workforce. Firmwide Data Office Data COE team is distributed globally between New York, London, Budapest, India, and Shanghai; and are engaged in a wide array of projects touching all business units (Institutional Securities, Investment Management, Wealth Management) and functions (e.g., Operations, Finance, Risk, Trading, Treasury, Resilience) across the Firm. The team vision is a multi-year effort to simplify firm’s data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper, and easier. Data & Analytics Engineering This is Vice President position that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on… What you’ll do in the role: As a member of our team, we look first and foremost for people who are passionate about solving business problems through innovation and engineering practices. You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner with stakeholders to stay focused on business goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You'll work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. You'll combine your design and development expertise with a never-ending quest to create innovative technology through solid engineering practices. You'll work with a highly inspired and inquisitive team of technologists who are developing & delivering top quality technology products to our clients & stakeholders. Key Responsibilities Design and develop state-of-the-art GenAI and general AI solutions as well as multiagent systems to solve complex business problems. Integrate knowledge graph, LLMs and multiagent systems Leverage NLP techniques to enhance applications in language understanding, generation, and other data-driven tasks. Lead the design and architecture of scalable, efficient, and high-performance data systems that support processing of massive datasets of structured and unstructured data. Use machine learning frameworks and tools to train, fine-tune, and optimise models. Implement the best practices for model evaluation, validation, and scalability Stay up to date with the latest trends in AI, NLP, LLMs and big data technologies. Contribute to the development and implementation of new techniques that improve performance and innovation. Collaborate with cross-functional teams, including engineers, product owners, and other stakeholders to deploy AI models into production systems and deliver value to the business. Leverage a strong problem-solving mindset to identify issues, propose solutions, and conduct research to enhance the efficiency of AI and machine learning algorithms. Communicate complex model results and actionable insights to stakeholders though compelling visualizations and narratives. What you’ll bring to the role: B.E or Master’s or PhD in Computer Science, Mathematics, Engineering, Statistics or a related field Proven experience building and deploying to production GenAI models with demonstrable business value realization 12 + years of total working experience. At least 8 years' relevant experience would generally be expected to find the skills required for this role 8+ years' experience in traditional AI methodologies including deep learning, supervised and unsupervised learning, and various NLP techniques (e.g, tokenization, named entity recognition, text classification, sentiment analysis etc.) Strong proficiency in Python with deep experience using frameworks like Pandas, PySpark, TensorFlow, XGBoost Demonstrated experience dealing with big-data technologies and the ability to process, clean and analyse large-scale datasets. Experience designing and architecting high-performance, data-intensive systems that are scalable and reliable. Strong communication skills to present technical concepts and results to both technical and non-technical stakeholders. Ability to work in a team-oriented and collaborative environment. Experience with Prompt Engineering, Retrieval Augmented Generation (RAG), Vector Databases Strong understanding of multiagent architectures and experience with frameworks for agent development Knowledge of Semantic Knowledge Graphs and their integration into AI/ML workflows WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. 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You are a highly skilled AI/ML/Gen AI Data Scientist with expertise in Generative AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP). You have a strong foundation in Python-based AI frameworks and experience in developing, deploying, and optimizing AI models for real-world applications. Your responsibilities include developing and implementing AI/ML models, working with Deep Learning architectures like Transformers (BERT, GPT, LLaMA) and CNNs/RNNs, fine-tuning and optimizing Large Language Models (LLMs) for various applications, designing and training custom Machine Learning models using structured and unstructured data, leveraging NLP techniques such as text summarization and Named Entity Recognition (NER), implementing ML pipelines, and deploying models in cloud environments (AWS/GCP/Azure). You will collaborate with cross-functional teams to integrate AI-driven solutions into business applications and stay updated with the latest AI advancements to apply innovative techniques to improve model performance. To qualify for this role, you should have 1 to 3 years of experience in AI/ML, Deep Learning, and Generative AI, strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn, hands-on experience with NLP models including BERT, GPT, T5, LLaMA, and Stable Diffusion, expertise in data preprocessing, feature engineering, and model evaluation, experience with MLOps, cloud-based AI deployment, and containerization (Docker, Kubernetes), knowledge of vector databases and retrieval-augmented generation (RAG) techniques, ability to fine-tune LLMs and work with prompt engineering, strong problem-solving skills, and the ability to work in agile environments. You should hold a Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, or Information Technology. Preferred skills include experience with Reinforcement Learning (RLHF) and multi-modal AI, familiarity with AutoML, Responsible AI (RAI), and AI Ethics, exposure to Graph Neural Networks (GNNs) and time-series forecasting, contributions to open-source AI projects or research papers. Your skills should encompass Machine Learning (ML), Generative AI, Artificial Intelligence (AI), Python, and Large Language Models (LLM).,

You will be responsible for designing and developing scalable AI and machine learning models to address complex business challenges. Your role will involve leading end-to-end model development, including data collection, preprocessing, training, validation, deployment, and monitoring. Collaboration with cross-functional teams, such as data engineers, software developers, and product managers, will be crucial. Additionally, you will optimize existing AI models for enhanced performance and accuracy. It is essential that you stay informed about the latest research and trends in AI/ML and assess their relevance to company products. Documenting processes, models, and code to facilitate knowledge sharing and reproducibility will be part of your responsibilities. Moreover, you will mentor junior team members and foster a culture of innovation. To qualify for this position, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. You must have at least 5 years of experience in AI/ML, data science, or related roles. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn is required. A solid grasp of machine learning algorithms, data structures, and software engineering principles is essential. Experience with cloud platforms such as AWS, Azure, or GCP, as well as familiarity with MLOps tools, is preferred. Hands-on experience in NLP, computer vision, or deep learning applications is a plus. Strong problem-solving and analytical skills, along with excellent communication and collaboration abilities, are necessary for this role. While a PhD in an AI/ML-related field is not mandatory, it would be advantageous. Experience in deploying models in production environments using CI/CD pipelines is a plus. Any contributions to open-source AI/ML projects or publications in esteemed journals/conferences will be highly regarded. Please note that the above description is referenced from hirist.tech.,

You will be joining a company that is renowned for its technical excellence and leading innovations. NTT DATA is committed to making a difference to clients and society while embracing diversity and inclusion in the workplace. It is a place where you can grow, belong, and thrive. As a Senior AI/GenAI Engineer at NTT DATA, your key responsibilities will include designing, developing, and deploying cutting-edge AI/GenAI models and solutions for various industries. You will utilize technologies such as TensorFlow, PyTorch, LangChain, Vellum, etc., on non-cloud infrastructure. Your role will involve leading the development and integration of agentic AI systems, designing vector databases for efficient similarity search in AI applications, providing technical guidance to junior team members, ensuring security of LLMs, engaging with clients to understand their AI requirements, developing tailored solutions, and more. Requirements for this role include a Bachelor's or Master's degree in Computer Science, AI, ML, or related fields, along with 8+ years of experience in engineering solutions and delivering AI solutions. You should have advanced proficiency in AI/GenAI technologies, experience with vector databases and similarity search algorithms, strong programming skills in languages like Python or R, excellent communication and interpersonal skills, and strong problem-solving abilities. It is preferred that you have experience with containerization (Docker) and orchestration (Kubernetes), as well as experience with ReactJS for rapid prototyping. The position is available in Delhi or Bangalore, with a hybrid working model. NTT DATA is a global innovator of business and technology services, serving 75% of the Fortune Global 100. The company is committed to helping clients innovate, optimize, and transform for long-term success. NTT DATA invests over $3.6 billion each year in R&D and offers services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is an Equal Opportunity Employer and part of the NTT Group headquartered in Tokyo.,

As a Sr. Consultant- Data Scientist at Firstsource Solutions Limited, you will be responsible for designing and implementing advanced Machine Learning (ML) and Deep Learning (DL) models. Your role will involve developing web applications using Flask and FastAPI for real-time data processing and user interaction. Additionally, you will conduct exploratory data analysis, create data processing pipelines, and utilize Generative AI techniques to enhance content generation. Collaboration is key in this role as you will work closely with cross-functional teams to integrate AI capabilities into products and systems. Staying updated with the latest advancements in AI, ML, DL, Computer Vision (CV), and Natural Language Processing (NLP) is crucial to drive innovation within the organization. Effective communication skills are essential for conveying complex quantitative analysis to senior management and other departments in a clear and actionable manner. To qualify for this position, you should possess a Bachelors or Masters or PhD degree in Computer Science, Data Science, Statistics, or a related field. A minimum of 5 to 7 years of experience in a data science role focusing on ML, DL, and statistical modeling is required. Strong coding skills in Python, proficiency in ML and DL frameworks (such as PyTorch, TensorFlow), CV tools (like OpenCV), and NLP libraries (such as NLTK, spaCy) are essential. Prior experience with generative models like GANs, VAEs, or Transformers, along with deployment skills in Docker, Kubernetes, and CI/CD pipelines, is advantageous. Analytical aptitude and excellent communication skills are also necessary for this role. Possessing certifications in Data Science, ML, or AI from recognized institutions will be an added advantage. Please note that Firstsource maintains a fair, transparent, and merit-based hiring process and does not solicit money at any stage. Beware of fraudulent offers and always verify information through official channels or @firstsource.com email addresses.,

It is exciting to be a part of a company where individuals truly BELIEVE in the mission at hand! The commitment is to infuse passion and customer-centricity into every aspect of the business. Fractal, a key player in the Artificial Intelligence domain, is dedicated to empowering human decisions within enterprises by merging AI, engineering, and design to support Fortune 500 companies globally. With over 3,000 employees spread across 16 international locations, including the United States, UK, Ukraine, India, Singapore, and Australia, Fractal has consistently been recognized for its excellence. Notable achievements include being rated as one of India's best companies to work for by The Great Place to Work Institute, acknowledged as a leader in Customer Analytics Service Providers Wave 2021, Computer Vision Consultancies Wave 2020, and Specialized Insights Service Providers Wave 2020 by Forrester Research, and identified as an "Honorable Vendor" in Gartner's 2021 Magic Quadrant for data & analytics. The team at Fractal is currently in search of an innovative and motivated Solutions Architect to join the expanding Edge & IoT team. In this role, you will collaborate closely with clients and internal engineering teams to conceptualize and implement efficient edge computing and IoT solutions. Leveraging our expertise in AI/ML and strategic partnerships with industry leaders like Microsoft, Intel, and Nvidia, you will showcase a high level of technical proficiency, comprehend client needs effectively, and deliver cutting-edge, top-quality solutions. To excel in this position, having a robust technical foundation in AI/ML and Edge Computing is essential, along with exceptional communication skills, the ability to think critically and creatively, and the capacity to adapt swiftly to new challenges. A successful Edge AI Solutions Architect will possess a deep understanding of both technological and business requirements, translating complex concepts into user-friendly solutions that drive client success and satisfaction. If you are prepared to contribute to a dynamic and progressive organization, we invite you to apply for this role. Key Responsibilities: - Collaborate with clients to collect requirements, grasp business objectives, and translate them into technical specifications for the engineering team. - Design innovative Edge & IoT solutions, integrating AI/ML components and utilizing cloud platforms like Azure, AWS, and GCP. - Contribute to and lead the development of Edge & IoT accelerators and PoVs. - Design, select, and deploy various IoT hardware components, considering factors such as power consumption, connectivity, interoperability, and environmental constraints. - Develop and present solution architecture and design documents, including diagrams, data flowcharts, and system requirements. - Work with engineering teams to ensure proper implementation of designed solutions and offer technical guidance throughout the project lifecycle. - Act as a mentor for team members, providing guidance, sharing knowledge, and fostering a collaborative and supportive learning environment within the Edge & IoT team. - Serve as a subject matter expert in Edge & IoT technologies, staying updated on industry trends, emerging technologies, and best practices. - Support the account team in the pre-sales process by providing technical assistance and insights into solution proposals. - Contribute to thought leadership initiatives and actively participate in internal trainings and knowledge-sharing sessions. Technical Skills Required: - Proficiency in IoT protocols like MQTT, CoAP, and AMQP. - Knowledge of edge computing technologies and platforms such as Azure IoT Edge, AWS Greengrass, or Google Edge IoT Core. - Understanding of AI/ML algorithms and frameworks, with experience in implementing them in Edge & IoT scenarios. - Experience with IoT devices, sensors, and connectivity solutions, along with cloud-based IoT platforms like Azure IoT Hub, AWS IoT Core, and Google Cloud IoT. - Proficiency in programming languages such as Python, C#, C/C++, or JavaScript. - Familiarity with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes, K3S). - Strong understanding of networking concepts, protocols, and technologies, as well as experience in designing secure, reliable, and scalable network architectures for IoT and edge computing solutions. - Knowledge of various hardware platforms such as Raspberry Pi, Arduino, NVIDIA Jetson, Intel NUC, and the ability to choose the appropriate platform based on specific requirements and constraints. - Expertise in packaging and deploying AI and ML models on edge devices using common AI frameworks like TensorFlow, PyTorch, or ONNX Runtime, and optimizing these models for efficient execution at the edge. - Design experience in IoT and edge computing solutions focusing on physical security, device management, thermal management, and enclosure design. - Ability to assess compatibility, interoperability, and performance of hardware components and integrate them into a structured solution architecture. - Understanding of industry standards, regulations, and best practices related to IoT hardware selection, deployment, and security. Qualifications: - Bachelor's or master's degree in computer science, Engineering, or related field. - Minimum 10-12 years of experience in designing and implementing IoT and edge computing solutions, with at least 4-5 years specializing in Edge AI and/or AI/ML integration. - Strong communication and presentation skills. - Excellent problem-solving abilities and attention to detail. - Capacity to work independently or as part of a team. If you thrive in a dynamic environment and enjoy collaborating with enthusiastic, high-achieving colleagues, you will find fulfillment in your career at Fractal!,

The Lead Data Scientist position within the J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science team offers a unique opportunity to be at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. As a key member of the team, you will be responsible for leveraging advanced analytics, AI, and Machine learning technologies, including Large Language Models (LLMs), to transform how compliance, conduct, and operational risks are managed across the organization. Your primary responsibilities will include designing, deploying, and managing AI/ML models using advanced techniques such as LLMs and Agentic AI for developing compliance and risk management solutions. You will collaborate with cross-functional teams to identify requirements, conduct research on AI techniques, and effectively communicate technical concepts to both technical and non-technical stakeholders. Additionally, you will play a crucial role in analyzing and interpreting data to evaluate model performance and identify areas for improvement. To excel in this role, you are required to have a Master's degree in a quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics, etc. from a top-tier university. You should have at least 12+ years of experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI. Proficiency in programming languages like Python, experience with frameworks like PyTorch or TensorFlow, and a solid understanding of machine learning concepts, including transformers and language modeling, are essential. Strong problem-solving skills, excellent communication abilities, and familiarity with data structures and algorithms for effective problem-solving in machine learning workflows are also required for this role. Join our CCOR Data Science team and be part of a leading analytics community where you will have opportunities for skill development and career growth in AI, machine learning, and data science.,

As an AI/ML Developer at our company in Meerut, you will utilize your 2 to 5 years of hands-on experience to design, build, and deploy machine learning models. Your main responsibilities will include developing models for various tasks like classification, regression, clustering, or NLP/computer vision. You will collaborate with cross-functional teams to understand business requirements and implement AI/ML solutions accordingly. Your expertise in Python libraries such as Pandas, NumPy, and Scikit-learn will be crucial in cleaning, preprocessing, and analyzing large datasets. Additionally, you will work with deep learning frameworks like TensorFlow, PyTorch, or Keras to fine-tune models for optimal performance, accuracy, and scalability. Developing APIs or services for model deployment and monitoring post-deployment performance will also be part of your responsibilities. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. Your strong proficiency in Python and experience with ML algorithms and evaluation metrics will be essential. Exposure to deep learning frameworks and tools like Flask, FastAPI, Docker, or AWS SageMaker will be advantageous. Knowledge of SQL, NoSQL databases, version control tools like Git, and cloud platforms like AWS/GCP/Azure will also be beneficial. Keeping yourself updated with the latest advancements in AI/ML research and techniques is encouraged to contribute effectively to our projects. If you are passionate about leveraging AI and ML technologies to drive innovation and solve real-world problems, we invite you to join our dynamic team and make a meaningful impact in the field.,

Role Overview We are looking for an experienced Solution Architect AI/ML & Data Engineering to lead the design and delivery of advanced data and AI/ML solutions for our clients. Responsibilities The ideal candidate will have a strong background in end-to-end data architecture, AI lifecycle management, cloud technologies, and emerging Generative AI Responsibilities : Collaborate with clients to understand business requirements and design robust data solutions. Lead the development of end-to-end data pipelines including ingestion, storage, processing, and visualization. Architect scalable, secure, and compliant data systems following industry best practices. Guide data engineers, analysts, and cross-functional teams to ensure timely delivery of solutions. Participate in pre-sales efforts: solution design, proposal creation, and client presentations. Act as a technical liaison between clients and internal teams throughout the project lifecycle. Stay current with emerging technologies in AI/ML, data platforms, and cloud services. Foster long-term client relationships and identify opportunities for business expansion. Understand and architect across the full AI lifecyclefrom ingestion to inference and operations. Provide hands-on guidance for containerization and deployment using Kubernetes. Ensure proper implementation of data governance, modeling, and warehousing : Bachelors or masters degree in computer science, Data Science, or related field. 10+ years of experience as a Data Solution Architect or similar role. Deep technical expertise in data architecture, engineering, and AI/ML systems. Strong experience with Hadoop-based platforms, ideally Cloudera Data Platform or Data Fabric. Proven pre-sales experience: technical presentations, solutioning, and RFP support. Proficiency in cloud platforms (Azure preferred; also, AWS or GCP) and cloud-native data tools. Exposure to Generative AI frameworks and LLMs like OpenAI and Hugging Face. Experience in deploying and managing applications on Kubernetes (AKS, EKS, GKE). Familiarity with data governance, data modeling, and large-scale data warehousing. Excellent problem-solving, communication, and client-facing & Technology Architecture & Engineering: Hadoop Ecosystem: Cloudera Data Platform, Data Fabric, HDFS, Hive, Spark, HBase, Oozie. ETL & Integration: Apache NiFi, Talend, Informatica, Azure Data Factory, AWS Glue. Warehousing: Azure Synapse, Redshift, BigQuery, Snowflake, Teradata, Vertica. Streaming: Apache Kafka, Azure Event Hubs, AWS Platforms: Azure (preferred), AWS, GCP. Data Lakes: ADLS, AWS S3, Google Cloud Platforms: Data Fabric, AI Essentials, Unified Analytics, MLDM, MLDE. AI/ML & GenAI Lifecycle Tools: MLflow, Kubeflow, Azure ML, SageMaker, Ray. Inference: TensorFlow Serving, KServe, Seldon. Generative AI: Hugging Face, LangChain, OpenAI API (GPT-4, etc. DevOps & Deployment Kubernetes: AKS, EKS, GKE, Open Source K8s, Helm. CI/CD: Jenkins, GitHub Actions, GitLab CI, Azure DevOps. (ref:hirist.tech)

This internship offers you a unique opportunity to contribute to the development of cutting-edge tools in aviation safety and data analysis, leveraging the power of Machine Learning. Your mission during this internship is to develop an interactive tool for mapping Flight Data Recorders (FDR) parameters based on Systems and subsystems. This will require you to become familiarized with the system-wide functionality of Airbus aircraft, codify potentially-affected parameters for a given incident to map the fault propagation tree, conduct research on, and ultimately implement, the most appropriate Machine Learning algorithm(s) for this time-series application, and build data visualization and user-interface tools. By the end of this internship, you will have delivered a robust tool that provides an exhaustive list of FDR parameters along with a practical representation of the impact on systems related to a particular fault. Additionally, you will have created a first-order proof of concept demonstrating the applicability of Machine Learning techniques in this space through a limited-scope use case. Required Skills: - Strong programming skills in Python. Knowledge of key machine learning libraries (Scikit-learn, Tensorflow) and scientific computing libraries (e.g., SciPy) is an asset. - Experience with Machine Learning (ML) for time-series applications, including exposure to supervised and unsupervised learning algorithms, an understanding of data preprocessing, feature engineering, and data visualization methods. - Experience with data visualization libraries (e.g., Matplotlib, Plotly, D3.js). - Familiarity with UI/UX design principles for intuitive interfaces would be a plus. This internship is ideal for students pursuing degrees in Computer Science, Aerospace Engineering, Data Science, or related fields, with a keen interest in aviation data, artificial intelligence, and software development. This job requires an awareness of potential compliance risks and a commitment to act with integrity as the foundation for the Company's success, reputation, and sustainable growth. Company: Airbus India Private Limited Employment Type: Internship Experience Level: Student Job Family: Testing By submitting your CV or application, you are consenting to Airbus using and storing information about you for monitoring purposes related to your application or future employment. This information will only be used by Airbus. Airbus is committed to equal opportunities for all and will never ask for any monetary exchange during the recruitment process. Any impersonation of Airbus for such requests should be reported to emsom@airbus.com. At Airbus, we support you to work, connect, and collaborate more easily and flexibly. We foster flexible working arrangements wherever possible to stimulate innovative thinking.,

Job Description As a Python Backend Engineer with exposure to AI engineering at Quantanite, you will be an integral part of our team responsible for building a scalable, cognitive data platform. Your role will involve designing and developing high-performance backend services using Python (FastAPI), developing RESTful APIs for data ingestion, transformation, and AI-based feature access, and collaborating closely with DevOps and data engineering teams to integrate backend services with Azure data pipelines and databases. Your primary responsibilities will include managing database schemas, writing complex SQL queries, and supporting ETL processes using Python-based tools. Additionally, you will be tasked with building secure, scalable, and production-ready services that adhere to best practices in logging, authentication, and observability. You will also implement background tasks and async event-driven workflows for data crawling and processing. In terms of AI engineering contributions, you will support the integration of AI models (NLP, summarization, information retrieval) within backend APIs. You will collaborate with the AI team to deploy lightweight inference pipelines using PyTorch, TensorFlow, or ONNX, and participate in training data pipeline design and minor model fine-tuning as needed for business logic. Furthermore, you will contribute to the testing, logging, and monitoring of AI agent behavior in production environments. To be successful in this role, you should have at least 3 years of experience in Python backend development, with a strong proficiency in FastAPI or equivalent frameworks. A solid understanding of RESTful API design, asynchronous programming, and web application architecture is essential. Additionally, you should demonstrate proficiency in working with relational databases (e.g., PostgreSQL, MS SQL Server) and Azure cloud services, as well as experience with ETL workflows, job scheduling, and data pipeline orchestration (Airflow, Prefect, etc.). Exposure to machine learning libraries (e.g., Scikit-learn, Transformers, OpenAI APIs) is a plus, along with familiarity with containerization (Docker), CI/CD practices, and performance tuning. A mindset of code quality, scalability, documentation, and collaboration is highly valued at Quantanite. If you are looking for a challenging yet rewarding opportunity to work in a collaborative environment with a focus on innovation and growth, we encourage you to apply to join our dynamic team at Quantanite.,

You are a talented and motivated Generative AI Data Scientist Lead sought by Accenture AI to join the Banking team. Leveraging your expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms, you will drive and lead the development and delivery of innovative solutions to enhance AI capabilities. Collaborating with cross-functional teams, you will design, develop, and implement generative AI solutions to meet business needs. Your key responsibilities will include: - **Independent Project Leadership**: Taking ownership of end-to-end project delivery with minimal supervision. - **Pod Leadership**: Leading and mentoring a small development pod of data scientists and engineers to ensure collaboration and timely delivery of high-quality solutions. - **Model Development**: Designing, developing, and deploying state-of-the-art generative AI models for various applications. - **Strategy Development**: Providing strategic recommendations to clients on integrating generative AI into workflows. - **Ethical AI Practices**: Ensuring responsible use of generative AI by addressing biases and compliance with regulations. - **Performance Evaluation**: Developing metrics to assess generative models" performance. - **Collaboration**: Working closely with stakeholders to understand requirements and deliver impactful AI solutions. - **Research and Innovation**: Staying updated with advancements in generative AI and applying knowledge to improve models. - **Mentorship**: Guiding and mentoring junior team members to foster a culture of innovation and learning. You should possess: - **6+ years of experience** in Data Science, Machine Learning, or related fields with a focus on Generative AI models. - Proficiency in **Python programming** and experience with **machine learning frameworks** like TensorFlow, PyTorch. - Hands-on experience with **cloud platforms** (AWS, GCP, Azure) for deployment and solution building. - Ability to work with **Docker, Kubernetes, and API Development** for deploying generative AI models. - Strong analytical, problem-solving, and critical thinking skills. - Expertise in **ethical AI practices** and understanding of biases and regulations in Generative AI. - Excellent verbal and written communication skills to convey complex concepts clearly. Additional qualifications include experience in large-scale data processing, NLP, computer vision, contributions to open-source AI/ML projects, cloud integrations, and performance optimization. Leadership experience in guiding teams and managing AI projects is also desired. This position requires a **minimum of 6 years of experience** in Data Science, Machine Learning, or related fields, along with a **Masters or Ph.D.** in Computer Science, Data Science, Statistics, or a related field.,

We are seeking a highly skilled Data Scientist to join our AI Center of Excellence (CoE) in Pune. In this role, you will work with complex financial datasets, develop machine learning models, and provide data-driven insights to support business decisions and product innovation. The ideal candidate will be hands-on, analytical, and dedicated to solving real-world problems using data. Required Skills & Experience: - 4-6 years of proven experience in Data Science, preferably in finance or FinTech. - Strong coding skills in Python, R, and SQL. - Experience with machine learning frameworks like Scikit-learn, TensorFlow, or PyTorch. - Solid foundation in statistical modeling, data analysis, and deep learning. - Familiarity with cloud platforms such as AWS, Azure, or GCP. - Proficiency in data visualization tools like Power BI, Tableau, or Matplotlib. - Excellent communication skills for presenting data-driven insights effectively. Preferred Qualifications: - Master's or Bachelor's degree in Data Science, Computer Science, Statistics, or related field. - Exposure to NLP, generative AI, or large language models. - Experience with MLOps practices for deploying and monitoring models. Key Responsibilities: - Analyze large-scale financial datasets to identify insights and trends. - Develop and deploy machine learning models for predictive analytics. - Translate business challenges into data science problems and propose solutions. - Collaborate with product and business teams to implement data-driven features. - Communicate analytical findings clearly through visualizations for non-technical stakeholders. - Explore and adopt emerging tools, techniques, and best practices in AI/ML continuously. This position is based in Pune and requires immediate joining. Hybrid or in-office availability is expected as per project requirements. GlobalLogic offers a culture of caring, learning and development opportunities, interesting & meaningful work, balance and flexibility, and a high-trust environment. We are committed to continuous growth and creating innovative solutions with our clients. Join us to be part of a global digital engineering partner known for impactful and cutting-edge solutions.,

As a Junior Generative AI Developer with 1 to 2.6 years of experience, you will be an integral part of our dynamic team focusing on Artificial Intelligence. Your role will involve working on the development, training, and deployment of AI models, with a specific emphasis on generative AI. Collaboration with senior developers will be key as you contribute towards enhancing AI-driven applications. Your responsibilities will include assisting in the development and implementation of generative AI models and algorithms. You will work closely with senior developers to build, train, and fine-tune AI models using frameworks like TensorFlow, PyTorch, or similar tools. Integration of AI models into applications for optimal performance and scalability will also be a part of your duties. Furthermore, you will participate in data preprocessing, feature engineering, and model evaluation processes. Your role will also involve supporting the deployment and monitoring of AI solutions in production environments. Code reviews, debugging, and optimization of AI models will be essential tasks to ensure effective functionality. To excel in this role, you should possess 1 to 2.6 years of experience in AI/ML development, particularly focusing on generative AI. A solid understanding of machine learning concepts, neural networks, and deep learning frameworks is required. Proficiency in programming languages such as Python, along with exposure to libraries like TensorFlow, PyTorch, or Keras, will be beneficial. Experience with data manipulation tools like Pandas, NumPy, and SQL is also necessary. Familiarity with version control systems such as Git is preferred. Strong problem-solving skills, a keen willingness to learn and adapt, good communication abilities, and the capacity to work collaboratively within a team environment are essential for success in this role. This position is based in Indore, Madhya Pradesh, and is an on-site work opportunity. The role may require you to work across various locations in India and globally, including the USA, UK, Australia, and the Middle East, with on-site benefits applicable. If you meet the required qualifications and are excited about contributing to cutting-edge AI projects, we encourage you to apply from the specified locations. Join us in shaping the future of Artificial Intelligence and machine learning technologies. Apply Now,

As an experienced and passionate AI/ML Trainer, you will be responsible for delivering hands-on training for a structured Artificial Intelligence & Machine Learning program. This contract-based opportunity is ideal for professionals with strong technical expertise and a flair for teaching. Your key responsibilities will include delivering in-depth classroom and lab-based training sessions on core AI/ML topics, designing, developing, and maintaining training material, assignments, and project modules, conducting doubt-clearing sessions, assessments, and live coding exercises, guiding students through capstone projects and real-world datasets, evaluating learner performance, and providing constructive feedback. It will also be your responsibility to stay updated with the latest industry trends, tools, and techniques in AI/ML. The topics you will cover during the training sessions include Python for Data Science, Statistics and Linear Algebra Basics, Machine Learning (Supervised, Unsupervised, Ensemble Techniques), Deep Learning (ANN, CNN, RNN, etc.), Natural Language Processing (NLP), Model Deployment (Flask, Streamlit, etc.), and hands-on experience with libraries like NumPy, Pandas, Scikit-learn, TensorFlow/Keras, OpenCV, and tools such as Jupyter, Git, Google Colab, and VS Code. To be eligible for this role, you should have a Bachelor's or Master's degree in Computer Science, Data Science, or a related field, along with at least 24 years of relevant industry/training experience in AI/ML. Strong communication and presentation skills are essential, as well as the ability to mentor and engage learners of varying skill levels. Prior training or teaching experience, whether academic or corporate, is preferred. Your skills should include expertise in ML, scikit-learn, TensorFlow, Jupyter, Natural Language Processing, OpenCV, Python for Data Science, Google Colab, Deep Learning, Model Deployment, NumPy, Keras, Linear Algebra, Statistics, Pandas, Git, VS Code, and a good understanding of contractual, artificial intelligence, and machine learning concepts.,

About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. We are seeking an experienced and highly skilled Senior Google Cloud Analytics & Vertex AI Specialist for the position of Associate Director with 12-15 years of experience, specifically focusing on Google Vertex AI. The ideal candidate will have a deep understanding of Google Cloud Platform (GCP) and extensive hands-on experience with Google Cloud analytics services and Vertex AI. The role involves leading projects, designing scalable data solutions, driving the adoption of AI and machine learning practices within the organization, and supporting pre-sales activities. A minimum of 2 years of hands-on experience with Vertex AI is required. Key Responsibilities: - Architect and Implement: Design and implement end-to-end data analytics solutions using Google Cloud services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. - Vertex AI Development: Develop, train, and deploy machine learning models using Vertex AI. Utilize Vertex AI's integrated tools for model monitoring, versioning, and CI/CD pipelines. Implement custom machine learning pipelines using Vertex AI Pipelines. Utilize Vertex AI Feature Store for feature management and Vertex AI Model Registry for model tracking. - Data Integration: Integrate data from various sources, ensuring data quality and consistency across different systems. - Performance Optimization: Optimize data pipelines and analytics processes for maximum efficiency and performance. - Leadership and Mentorship: Lead and mentor a team of data engineers and data scientists, providing guidance and support on best practices in GCP and AI/ML. - Collaboration: Work closely with stakeholders to understand business requirements and translate them into technical solutions. - Innovation: Stay updated with the latest trends and advancements in Google Cloud services and AI technologies, advocating for their adoption when beneficial. - Pre-Sales Support: Collaborate cross-functionally to understand client requirements, design tailored solutions, prepare and deliver technical presentations and product demonstrations, and assist in proposal and RFP responses. - Project Delivery: Manage and oversee the delivery of data analytics and AI/ML projects, ensuring timely and within budget completion while coordinating with cross-functional teams. Qualifications: - Experience: 12-15 years in data engineering, data analytics, and AI/ML with a focus on Google Cloud Platform. - Technical Skills: Proficient in Google Cloud services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI), strong programming skills in Python and SQL, experience with machine learning frameworks (TensorFlow, PyTorch), data visualization tools (Looker, Data Studio). - Pre-Sales and Delivery Skills: Experience in supporting pre-sales activities, managing and delivering complex data analytics and AI/ML projects. - Certifications: Google Cloud Professional Data Engineer or Professional Machine Learning Engineer certification is a plus. - Soft Skills: Excellent problem-solving, communication, and leadership skills. Qualifications: - B.E./B.Tech/Post Graduate,

We are searching for a Full-Stack AI Developer with specialization in Generative AI and Large Language Models (LLMs) to spearhead the design and creation of AI-driven applications. As a Full-Stack AI Developer in this role, you will be required to exhibit a broad range of capabilities, from creating user-friendly front-end interfaces to developing and deploying backend AI models and overseeing scalable infrastructure. Your responsibilities will include: Development: - Creating intuitive and user-friendly interfaces for AI-driven applications. - Using modern web frameworks like React and Vue.js to craft responsive UI/UX designs. - Ensuring optimal front-end performance and compatibility across different browsers. Backend Development: - Building robust and scalable backend systems for deploying AI models. - Establishing and managing RESTful APIs to facilitate seamless integration between front-end and back-end components. - Overseeing cloud-based infrastructure utilizing platforms such as AWS or Azure. AI Model Development: - Training, fine-tuning, and deploying state-of-the-art generative AI and LLM models. - Leveraging frameworks like TensorFlow and PyTorch for developing deep learning models. - Constructing efficient inference pipelines to achieve low-latency processing. Engineering: - Designing and managing data pipelines for model training and evaluation. - Conducting preprocessing and cleansing of extensive datasets to enhance model performance. - Implementing data versioning, monitoring, and reproducibility practices. Qualifications: - Possession of a graduate degree in Computer Science, AI, Machine Learning, or a related field. - Minimum of 5 years of experience in full-stack development. - At least 2 years of hands-on experience in AI/ML, particularly in generative AI and LLMs. - Strong understanding of machine learning algorithms and NLP techniques. - Proficiency in Python and deep learning frameworks such as TensorFlow. Competencies: - Strong problem-solving skills and aptitude for architectural design. - Excellent communication abilities and aptitude for cross-functional collaboration. - Self-motivated with the capability to handle multiple projects concurrently. - Enthusiasm for continuous learning and staying abreast of the latest developments in AI/ML and LLMs.,

As an AI/ML Engineer, your primary responsibility will be to collaborate effectively with cross-functional teams, including data scientists and product managers. Together, you will work on acquiring, processing, and managing data for the integration and optimization of AI/ML models. Your role will involve designing and implementing robust, scalable data pipelines to support cutting-edge AI/ML models. Additionally, you will be responsible for debugging, optimizing, and enhancing machine learning models to ensure quality assurance and performance improvements. Operating container orchestration platforms like Kubernetes with advanced configurations and service mesh implementations for scalable ML workload deployments will be a key part of your job. You will also design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. Engaging in advanced prompt engineering and fine-tuning of large language models (LLMs) will be crucial, with a focus on semantic retrieval and chatbot development. Documentation will be an essential aspect of your work, involving the recording of model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. Researching and implementing cutting-edge LLM optimization techniques such as quantization and knowledge distillation will be part of your ongoing tasks to ensure efficient model performance and reduced computational costs. Collaborating closely with stakeholders to develop innovative natural language processing solutions, with a specialization in text classification, sentiment analysis, and topic modeling, will be another significant aspect of your role. Staying up-to-date with industry trends and advancements in AI technologies and integrating new methodologies and frameworks to continually enhance the AI engineering function will also be expected of you. In terms of qualifications, a Bachelor's degree in any Engineering stream is required, along with a minimum of 4+ years of relevant experience in AI. Proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) is essential. Experience with LLM frameworks, big data processing using Spark, version control, and experiment tracking, as well as proficiency in software engineering and development, DevOps, infrastructure, cloud services, and LLM project experience are also necessary. Your expertise should include a strong mathematical foundation in statistics, probability, linear algebra, and optimization, along with a deep understanding of ML and LLM development lifecycle. Additionally, you should have expertise in feature engineering, embedding optimization, dimensionality reduction, A/B testing, experimental design, statistical hypothesis testing, RAG systems, vector databases, semantic search implementation, and LLM optimization techniques. Strong analytical thinking, excellent communication skills, experience translating business requirements into data science solutions, project management skills, collaboration abilities, dedication to staying current with the latest ML research, and the ability to mentor and share knowledge with team members are essential competencies for this role.,