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2.0 - 6.0 years
0 Lacs
pune, maharashtra
On-site
NTT DATA is seeking a Digital Engineering Lead Engineer to join the team in Pune, Mahrshtra (IN-MH), India. As a part of the team, you will exercise expertise in developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. You will apply statistical skills and advanced statistical techniques, demonstrating deep knowledge of ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. In this role, you will leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. You should have deep knowledge in statistics, Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks like Langchain and LlamaIndex, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, etc.) is essential. Proficiency in programming languages such as Python and understanding of various Python packages is required. You will develop and implement GenAI solutions, collaborating with cross-functional teams to support the successful execution of AI projects for a diverse range of clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. The ideal candidate should have a minimum of 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions. Furthermore, 5+ year(s) of experience participating in projects focusing on predictive analytics, data design, generative AI, AI/ML, and ML Ops is preferred. A minimum of 3 years of experience using Python is required, along with the ability to travel at least 25% and a Bachelor's Degree. NTT DATA is a trusted global innovator of business and technology services committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries, with 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. Join us on our journey to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com.,
Posted 5 days ago
3.0 - 7.0 years
0 Lacs
hyderabad, telangana
On-site
GlobalOgic is looking for an experienced Full Stack developer with over 5 years of expertise in building scalable APIs using frameworks such as Django REST, FastAPI, or Flask. The ideal candidate should possess strong SQL skills, cloud deployment experience (AWS/GCP/Azure), and proficiency in CI/CD tools. Additional strengths include knowledge of authentication protocols, containerization (Docker/Kubernetes), NoSQL databases, microservices architecture, and infrastructure automation tools like Terraform or Ansible. Strong problem-solving and communication skills are essential. You should have at least 3 years of full stack development experience and be proficient in Python (Flask/Django) for backend development. Strong hands-on experience in React.js, JavaScript (ES6+), HTML, and CSS is required. A solid understanding of RESTful APIs, integration between frontend and backend, and developing applications from scratch is essential. Familiarity with relational databases (PostgreSQL, MySQL) and/or NoSQL databases (MongoDB), as well as understanding of software design patterns, microservices architecture, and containerized applications are desired. As a Full Stack developer at GlobalOgic, your responsibilities will include designing, developing, testing, and deploying end-to-end web applications using React/Angular and Python frameworks (e.g., Flask, Django). You will be required to take ownership of new product features or modules and build them from the ground up. Architecting scalable and maintainable frontend and backend systems, collaborating with cross-functional teams including UI/UX designers, QA, and DevOps, as well as writing clean, maintainable, and efficient code following best practices are key aspects of the role. Integrating third-party APIs, services, and databases, monitoring application performance, optimizing for speed, scalability, and reliability, and participating in sprint planning, daily stand-ups, and retrospectives as part of an Agile team are also part of the job responsibilities. GlobalOgic offers a culture of caring where people come first, a commitment to continuous learning and development, interesting and meaningful work, balance and flexibility, and a high-trust organization. As a part of GlobalLogic, you'll have the opportunity to work on impactful projects with cutting-edge technologies, grow personally and professionally, and be part of a safe, reliable, and ethical global company that values integrity and trust. About GlobalLogic: GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for helping create innovative digital products and experiences. Collaborating with clients in transforming businesses and industries through intelligent products, platforms, and services, GlobalLogic continues to be at the forefront of the digital revolution since 2000.,
Posted 5 days ago
2.0 - 6.0 years
0 Lacs
pune, maharashtra
On-site
You will be joining NTT DATA as a Digital Engineering Lead Engineer based in Pune, Maharashtra (IN-MH), India. In this role, you will be responsible for ideating and developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Utilizing your statistical skills and advanced statistical techniques, you will apply your expertise in ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. It is essential to have a deep understanding of Python open-source software stack, including Django or Flask, Django Rest or FastAPI. Your knowledge in statistics, Machine Learning models, deep learning models, NLP, GAN, and other generative models will be leveraged in this role. Experience with RAG technologies, LLM frameworks, model registries, embedding models, and vector databases is required. You will be expected to demonstrate proficiency in programming languages such as Python and have a strong understanding of various Python packages, along with experience in TensorFlow, PyTorch, or Keras. Collaborating with cross-functional teams, you will develop and implement GenAI solutions, supporting the successful execution of AI projects for various clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. Working on RAG models to enhance AI solutions and maintaining data infrastructure for actionable insights will be part of your responsibilities. Your role will involve collaborating with data science teams, understanding customer requirements, and delivering customized AI solutions. Preferred qualifications include experience in Private AI and Smart Agent Solutions. You should have a minimum of 2+ years of experience architecting high-impact GenAI solutions and 5+ years of experience in projects related to predictive analytics, data design, generative AI, AI/ML, and ML Ops. A Bachelor's Degree is required for this position, along with 3+ years of experience using Python. The ability to travel at least 25% of the time is also necessary. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA provides 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 dedicated to helping clients innovate, optimize, and transform for long-term success, with a commitment to moving confidently and sustainably into the digital future.,
Posted 1 week ago
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