Analytics Insight has listed top 10 AI job opportunities in India
Artificial intelligence is reshaping non-tech sectors in India, creating diverse employment opportunities. From AI medical consultants in healthcare to algorithmic traders in finance and content creators in entertainment, professionals are leveraging AI for increased efficiency. The integration of AI in manufacturing, retail, agriculture, legal services and marketing is transforming traditional roles, optimizing processes and improving customer experiences. This widespread adoption demonstrates a transformative trend, enabling professionals to excel in decision-making and thrive in a rapidly changing landscape.
Here are the 10 AI job opportunities in 2024: Explore the best opportunities to contribute to India’s advancement.
As a Conversational AI Telephony Integration Architect at Google Cloud, you lead telephony integration projects, working closely with customers and telephony partners. With expertise in CAI architecture, you design scalable solutions and provide technical advice. Google prioritizes diversity, equal opportunities, and accommodating candidates with special needs.
IBM
As an IBM Data Scientist, you will contribute to AI solutions by analyzing data to generate tangible business value. Collaborate on product development, optimize data pipelines, and perform quantitative analysis. Preferred skills include Azure, Databricks, and experience in conversation analytics.
Infosys
Infosys is looking for a candidate with 4+ years of IT experience, including 2 years in AI/ML/DS. The role involves developing Generative AI (Gen AI), managing LLM development and deployment pipelines, and transforming AI proofs of concept into production. Responsibilities include designing ML systems, running experiments, researching algorithms, and tuning models for optimal performance.
EY
As an AI Developer at EY GDS Assurance Digital, you will lead AI research for impactful products, converting business challenges into analytical solutions. With a focus on Python, machine learning, deep learning, and data science, you will implement innovative AI solutions, support solution architects, and deploy AI proofs of concept. Exceptional academic background required.
Discovery of Warner Bros.
The post from Warner Bros. Discovery is looking for a seasoned data scientist with 9-13 years of experience to lead machine learning initiatives. Responsibilities include developing advanced models for the media supply chain, ad packaging and metadata extraction. The role requires expertise in modern ML approaches, mastery of tools such as TensorFlow and AWS, and a commitment to technical excellence.
Dolby Laboratories
As a Dolby AI Researcher, you will lead groundbreaking research in audio and multimedia technologies. With a Ph.D. in Computer Science, you will focus on deep learning, generative models, and multimodal learning. Responsibilities include refining AI strategy, creating innovative solutions, publishing in top conferences, and influencing technology transfer. Strong Python skills and effective communication are essential.
Amazon
As a BI Engineer at Amazon Global Operations – AI (GO-AI), you will design and maintain automated and scalable analytics systems, leveraging data to drive business decisions. Responsibilities include creating user-friendly reports and dashboards, employing statistical rigor, and ensuring operational excellence of BI solutions. Preferred qualifications include AWS expertise and a master’s degree in a relevant field.
Quantiphi
As the Lead AI Specialist at Quantiphi, you will lead the implementation of trusted AI systems, collaborating with cross-functional teams. Your role is to design experiments, governance structures and training programs to promote the adoption of responsible AI. A PhD or Master’s degree in Computer Science, expertise in ML, DL, and statistics, as well as strong communication skills, are essential to succeed in this role.
Accenture
As an Accenture Data Science Conversation Analyst, you will contribute to the development of AI-based bots by creating conversational interfaces and virtual agents. With 2 to 3 years of experience, you will apply your expertise in intent, entity, fallback and context management. Proficiency in Python, SQL and Google Dialog Flow is essential and Node.js skills are beneficial.
LTIMindtree
The AI/ML Architect will lead AI/ML/Python teams, building solutions using cloud technologies, AI frameworks and ML algorithms. This role involves pre-sales support, strategic analysis of AI scenarios, guiding Python library implementation, and representing the organization in the AI community. The ideal candidate will have 10+ years of relevant experience, AI/ML certification, and strong communication skills.
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