![]() ![]() ![]() ![]() Jobs after MCA and lucrative MCA salary entice a lot of people to enroll in this 3-year postgraduate course. ![]() Data management, consulting, banking, simulation, networking, design support and data communications, online designing and development, software development firms, e-commerce, and others are a few of these industries. Know all About: MCAĪ high MCA salary is available in many recruitment-related industries in India. Read the complete article to know all about MCA jobs and salary. This article talks about various job opportunities and career prospects available for MCA graduates. The average MCA salary in India is INR 7.96 LPA as per the sources available at PayScale. Propose solutions and strategies to business challenges Present information using data visualization techniques Build predictive models and machine-learning algorithms Analyze large amounts of information to discover trends and patterns Undertake preprocessing of structured and unstructured data Identify valuable data sources and automate collection processes Work with several generative AI tools,stacks and products (primarily Azure OpenAI) to quickly build and roll-out multiple use PoCs and MVPs Transforming natural language data into useful features using NLP/NLG/LLM techniques to feed classification algorithms. Build AI and ML models for generative AI applications with ChatGPT Serve as lead data strategist/scientist/engineer to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products with Azure Cognitive Services (especially AzureOpenAI) Independently build and demo rapid generative AI demos and solutions with short notices Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects Research, curate, and record tutorials on various applications of data science and machine learning Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences. Support new business activities, proposal creation and engagement scoping Bring innovation by coming up ideas, differentiators, and development of tools / accelerators to differentiate us in the market. Passionate about technology and customer success with excellent communication and articulation skills Deep understanding of text / content representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms Must have delivered at least 1-2 projects leveraging Azure OpenAI services across the OpenAI / ChatGPT capabilities. Hands-on training and fine-tuning experience with Azure OpenAI distributed OpenAI models such as DaVinci, curie, Babbage, ADA Expertise in completions, embeddings, edits, transcriptions, translations, fine-tunes, and moderations across the several large language models especially those of OpenAI GPT 4, GPT 3.5, DALL-E, Whisper, Embeddings, Moderation, and Codex etc. Deep expertise in building and fin-tuning large language models of OpenAI e.g. Proven experience with, and applied knowledge of, at least one scripting language, such as Python, or R Vision, Speech, Language, Decision, Search and Azure OpenAI and its implementation Strong understanding of Azure cloud technology including Cognitive Services viz. Strong data science and data engineering background both with open source and cloud distributed machines learning and AI tools especially Azure Cognitive Services and Azure Machine Learning Deep and hands-on experience in applying machine learning algorithms. Familiarity with Scala, Java, or C++ is an added advantage. Programming Skills - knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Experience of building / customizing and fine-tuning AI models including LLM models via OpenAI studio extended through AzureOpenAI cognitive services for rapid PoCs Hands-on expertise in large language models (LLMs/LSTMs/BERT) that can perform complex reasoning in few- and zero-shot settings by generating intermediate chain of thought (CoT) reasoning steps e.g. Deep and hands-on expertise in (as an individual contributor) Undertaking data collection, Data mining, preprocessing and analysis of structured and unstructured data. Total Experience - 8+ years with hands on experience with building language models, machine learning and AI models leveraging industry tools, products, and Azure cognitive services. Good to have: Open AI (Chat GPT, GPT, Chat bot) Mandatory Skill 2 yrs : Azure Cognitive services (AI, ML, LLM, algorithm), Python, NLP, Generative AI ![]()
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