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The generative AI field is growing really fast, and so are the opportunities that go with it for professionals having expertise in machine learning, natural language processing, or other associated technologies. Companies in varying industries are on the hunt for talented personnel in order to develop and implement generative AI models that introduce innovation and efficiency into business operation activities. Hence, no matter your experience or enterprising nature in career building, there is an adequate number of exciting roles open within this vibrant field. This article explores the Generative AI Job openings avail across India.
Company: Deloitte
Location: Bangalore
The candidates must have a certain number of years of experience in advanced machine learning algorithms, deep learning, statistics, large language models like OpenAI and Llama2. The candidate should be able to show experience, particularly in frameworks such as Langchain, Llamaindex, and have at least intermediate Python skills. They are expected to have knowledge of Numpy, Pandas, Scikit-learn, model deployment, feature engineering, and data preprocessing with at least some familiarity with Kubernetes, Docker, and Github. Applicants must have over 5 years of experience in deploying models to production for ML solutions. The ideal candidate is an entrepreneurial self-motivated budding businessperson who shows a sense of ownership, willingness to learn, and desire to succeed. The successful candidate should display strong team-working, problem-solving, and analytical skills besides being deep in math, probability, statistics, and algorithms. Strong expertise in Pharma Quality Standards and Practices, leadership, and interpersonal (both written and verbal) communication skills are also required.
Company: Genpact
Location: Noida
Candidates having good knowledge of generative AI models and algorithms, especially Vector Search Utility and Retrieval-Augmented Generation Techniques.It will require competence in at least one of the following generative AI models—OpenAI ChatGPT, Llama, or Claude 2—and machine learning, Python, Flask/Django, microservices, and one of the cloud platforms. Additionally, it may require experience with Vector Search Utility, Rag; know-how on knowledge mining from several sources, including Salesforce, ServiceNow, and Confluence. Professional expertise in prompt engineering techniques should be sufficient and programming languages, mainly Python, and frameworks like Tensorflow, PyTorch, or Keras. This will require experience with the Databricks AI Platform, deep learning architectures, neural networks, and a raft of machine learning techniques. It needs experience in high analytical and problem-solving skills, good communication and collaboration abilities, and being able to work in high-paced dynamic environments.
Company: Citi
Location: Pune
You might be a good fit if you bring deep-dive software engineering expertise, thrive in a results-driven environment, and are ready to step beyond designated roles. If you love pair programming and are passionate about researching machine learning and generative AI, this is the place. You will be part of the Tech Strategy group, leading efforts around multiple AI products built from scratch. You would take part in conceptualizing and building high-quality and reliable products with respect to user experience and engineering innovative AI platforms for the bank. You will join a team developing firsts at Citi in the Generative AI space, iterating, and scaling products based on internal customer needs, mentor other engineers to grow their skills and expertise.
Company: TCS
Location: Hyderabad
This is an excellent opportunity to work with one of the top 10 System Integrators and Independent Consultancies globally. Technical Skills Programming languages like Python, Java, or C++, Deep Learning frameworks such as TensorFlow, PyTorch, or scikit-learn, experience in Cloud Computing platforms—preferably Microsoft Azure or AWS or Google Cloud Platform. Also, you should have experience in NLP and GAN, VAE, Diffusion Models, Data Visualization. The job holder will design, develop, and implement state-of-the-art generative AI models and optimize model performance while working with cross-functional teams to outline project objectives and devise innovative solutions. Candidates shall test and validate AI models, maintain up-to-date knowledge of new developments in AI, keep clear documentation, and communicate complex concepts both to technical and non-technical stakeholders while contributing to a positive, collaborative working environment.
Company: ZIDEA
Location: Remote
Candidates will design, develop, and deploy machine learning models using Amazon SageMaker. Drive the development of intelligent question-answering systems using Amazon Q, and integrate back-end services for AI applications using relevant AWS services like Lambda and S3. They will collaborate directly with data scientists and ML engineers for the interpretation of business requirements into technical specifications, optimization of AI models and keeping their eye on them, writing clean and efficient code, and conducting unit testing and code reviews. The requirements are a minimum of 3+ years of experience in software development, preferably with deep knowledge of high-level programming languages, such as Python or Java, and experience with OpenSearch and Amazon Bedrock. Other requirements include familiarity with concepts of cloud computing—AWS is preferred; machine learning libraries such as scikit-learn and TensorFlow; and DevOps principles. This involves strong problem-solving skills and an analytical mind, excellent communication and collaboration ability, with a passion for innovation and continuous learning.
