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As per a report by Goldman Sachs, generative AI holds the promise of boosting global GDP by 7%, equivalent to nearly $7 trillion and boosting productivity growth by 1.5 percentage points over a decade. Currently, there’s a widespread trend of enhancing capabilities in generative AI across startups and major tech companies, leading to the creation of new positions specifically for experts in LLMs.
Let’s explore some of the top job opportunities in the field of generative AI in India.
Indian IT giant Tech Mahindra is hiring 10 generative AI engineers with five to ten years of experience. Key qualifications include expertise in Microsoft Azure, AI development, Google Cloud Platform (VertexAI), deep learning frameworks (TensorFlow, PyTorch, JAX), NLP, ML, and hands-on experience with generative AI models like PaLM API.
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Proficiency in Python, Agile development, cloud services, and communication skills are crucial. Familiarity with prompt design, vector data stores, Flask/FastAPI, and LangChain is also desired.
Apply by November 30 here.
Unisys is hiring a generative AI lead engineer to spearhead advancements in AI. The role entails leading a team in designing, developing, and deploying cutting-edge generative AI models. Responsibilities include team leadership, research and development, project management, algorithm optimization, quality assurance, documentation, collaboration, and ensuring compliance with ethical guidelines.
The ideal candidate should have a Bachelor’s degree, eight to ten years of engineering experience, expertise in generative AI, strong programming skills in Python and TensorFlow, leadership experience, problem-solving skills, and knowledge of ethical AI principles. Adaptability to evolving technologies is crucial for success in this role.
Find more information about the role here.
Maruti Suzuki India is hiring a full-time AI/ML engineer in Gurgaon with three to seven years of experience and a B.Tech/BE degree. The role involves developing AI/ML algorithms, optimising deep learning models, collaborating with software engineers, and leveraging cloud platforms.
The candidate should have proficiency in TensorFlow, Python, and relevant machine learning libraries, as well as experience in recommendation engines, data pipelines, and distributed machine learning. Strong communication, collaboration, and problem-solving skills are essential.
Familiarity with AI/ML frameworks, data structures, and software architecture is expected, along with knowledge of cloud platforms such as AWS, Azure, and GCP.
Gramener, a growing data analytics company, seeks a skilled generative AI engineer to drive innovation and solve complex business challenges. Responsibilities include designing and implementing cutting-edge generative AI models, collaborating with cross-functional teams, and contributing to research and development.
Qualifications include a degree in Computer Science or related field, proficiency in Python and AI libraries (TensorFlow, PyTorch), and experience in generative modeling techniques. The role emphasizes continuous learning, problem-solving, and effective communication.
Gramener, known for its impactful data stories, offers a dynamic work environment with opportunities for growth and meaningful contributions.
If you think that you are fit for the role, apply here.
IBM in Bengaluru is hiring a Software Development Manager with a Master’s degree and over 10 years of IT experience. The role involves leading a full-stack team in developing generative AI-infused platform features for the IBM Security Threat Management product. Candidates should have expertise in programming languages, QA experience, and strong communication skills.
The position requires managing conflicts and demonstrating emotional intelligence in a collaborative and agile environment. If you’re ready to lead in technology’s new era and tackle global challenges, IBM invites you to join their team of innovative minds.
Check out the job now.
Deloitte is seeking a data science intern for their audit and assurance business. The role involves contributing to AI-enabled audits using advanced technologies like generative AI, anomaly detection, and clustering. The candidate should have a Master’s degree, proficiency in Python and relevant libraries, and hands-on experience with machine learning frameworks.
The responsibilities include developing, testing, and deploying ML/AI models, collaborating with senior team members, and actively participating in the entire data science project lifecycle. Strong communication skills and a proactive, problem-solving mindset are essential.
The position is an internship, and a passion for AI and data analysis is a must.
Find more details about the job here.
Lilly, a global healthcare leader, is hiring a senior team lead in Bengaluru, Karnataka, for their generative AI team. The role involves leading machine learning processes, from data collection to model deployment, with a focus on Natural Language Technology (NLT). The candidate will design and manage data preparation tools, provide leadership in project delivery, mentorship, and team development.
Key skills include communication, leadership, critical thinking, and experience in system development life cycle methodologies. The candidate should have a minimum of three years of team management and 10 years of overall experience, with a preference for Pharma domain knowledge and relevant certifications.
The technical role objectives include implementing optimal cloud-based ML solutions, researching NLG algorithms, and maintaining ML model performance and infrastructure.
Oracle Cloud Infrastructure
The job is for a generative AI solutions engineer at Oracle Cloud Infrastructure in Bengaluru. The role involves developing and scaling generative AI services, designing distributed infrastructure, and collaborating with data scientists and engineers.
The ideal candidate should have over seven years of experience in large-scale distributed systems, expertise in cloud platforms (OCI, AWS, Azure), and proficiency in languages like Java and Python.
Additional qualifications include knowledge of microservices, UI frameworks, MLOps tools, and Big Data technologies. Cloud Native Frameworks experience and contributions to open-source projects are a plus.
Apply on the company site.
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