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ai scientist - 2 Jobs in Associate Talent Acquisition Advisory Consulting Ifs Bangalore Jobs In Mangaluru

ai scientist - 2

associate software engineer Jobs in Associate Talent Acquisition Advisory Consulting Ifs Bangalore Jobs In Mangaluru

associate software engineer

ai scientist 2

Intuit

<div>
 
 Overview
 
 
 
 Come join our collaborative and creative group of AI scientists and machine learning engineers for Intuit Foresight! As AI Scientist, you'll get to design and build next generation AI systems that directly impact our customers deploying machine learning models in AI-native apps, using everything from analytical
 
 
 algorithms to deep learning and generative AI. We're excited for you to join us and do some seriously awesome work.
 
 
 The team is at the heart of building next generation AI systems and algorithms using state of the art algorithms, platform infrastructure and massive datasets unique to Intuit. Building these AI and GenAI systems involve the use of large language models, reinforcement learning, human prefernce learning, forecasting, optimization and in-depth knowlege of using experimentation methods and AI evaluations.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Perform hands-on data analysis and modeling with huge data sets. Apply AI and and machine learning methods to build next generation AI Capabilities and Algorithms
 </li>
 <li>
 Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
 </li>
 <li>
 Create and refine features from the underlying data. You&rsquo;ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you&rsquo;ll lather, rinse and repeat
 </li>
 <li>
 Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 MS or PhD in Computer Science, Mathematics, Statistics, Engineering, or related quantitative field
 </li>
 <li>
 2+ years of proven experience in building AI systems using Large Language Models and Reasoning Language Models as well as applying ML methods such as classification, regression, decision trees, deep neural nets, reinforcement learning. Hands on experience in running large scale AI Evals.
 
 
 </li>
 </ul>
 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
</div>

AI Scientist - 2

<div>
 
 Overview
 
 
 
 Intuit is seeking a Sr Data Scientist to join our Data sciences in Intuit India.
 
 
 The AI team develops game changing technologies and experiments that redefine and disrupt our current product offerings. You&rsquo;ll be building and prototyping algorithms and applications on top of the collective financial data of 100 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax.
 
 
 You thrive on ambiguity and will enjoy the frequent pivoting that&rsquo;s part of the exploration. Your team will be very small and team members frequently wear multiple hats.
 
 
 In this position you will have close collaboration with the engineering and design teams, as well as the product and data teams in business units. Your role will range from research experimentalist to technology innovator to consultative business facilitator. You must be comfortable partnering with those directly involved with big data infrastructure, software, and data warehousing, as well as product management.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Perform hands-on data analysis and modeling with huge data sets.
 </li>
 <li>
 Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
 </li>
 <li>
 Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
 </li>
 <li>
 Discover data sources, get access to them, import them, clean them up, and make them &ldquo;model-ready&rdquo;. You need to be willing and able to do your own ETL.
 </li>
 <li>
 Create and refine features from the underlying data. You&rsquo;ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you&rsquo;ll lather, rinse and repeat.
 </li>
 <li>
 Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
 </li>
 <li>
 Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 MS or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.).
 </li>
 <li>
 2+ years of experience with data science for PhD and 5+ years for Masters.
 </li>
 <li>
 Experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn.
 </li>
 <li>
 Efficient in SQL, Hive, or SparkSQL, etc.
 </li>
 <li>
 Comfortable in Linux environment
 </li>
 <li>
 Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
 </li>
 <li>
 Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
 
 
 </li>
 </ul>
 
 Preferred Additional Experience
 
 
 
 <ul>
 <li>
 Apache Spark
 </li>
 <li>
 The Hadoop ecosystem
 </li>
 <li>
 Java
 </li>
 <li>
 HP Vertica
 </li>
 <li>
 TensorFlow, reinforcement learning
 </li>
 <li>
 Ensemble Methods, Deep Learning, and other topics in the Machine Learning community
 </li>
 <li>
 Familiarity with GenAI and other LLM and DL methods
 
 
 </li>
 </ul>
 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
</div>

Senior AI Scientist

Axtria - Ingenious Insights

<div>
 
 
 Core Responsibilities:
 
 As a Clinical Data Scientist, you will independently perform data analysis, data mining on various clinical trial data sources. You will develop, test, productionize and maintain AI/ML/GenAI models. You will leverage cloud-based solutions for scalable data processing and collaborate with cross-functional teams to deliver cutting edge data science solutions.
 
 
 
 
 
 
 Skills and Experience
 
 :
 
 
 
 
 
 
 Domain Experience:
 
 
 <ul>
 <li>
 Should have knowledge of Clinical R&amp;D domain with hands on experience on data sources from one more clinical business functions e.g. Clinical Operations, Biometrics, Drug Safety, Medical Affairs, Real-World Data (RWD), Laboratory data, Regulatory data sources etc.
 </li>
 <li>
 Should have good understanding and hands-on experience on curating, analyzing, and mining data from very clinical data sources e.g. CTMS, EDC, IRT, Labs, EHR kind RWD sources. Should have working knowledge of CDISC clinical data standards e.g. CDASH, SDTM, ADaM, FHIR etc.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Proficient in developing models with Python/PySpark. Experience with Databricks or Dataiku DSS (Data Science Studio) platforms would be an advantage. Highly skilled in creating, testing, deploying, and maintaining state of the art AI/ML/GenAI solutions.
 </li>
 <li>
 Skilled in statistical and probabilistic methods e.g. SVM, Decision-Trees, Bagging, Boosting, Clustering, Time Series Analysis etc. Experience in core NLP techniques e.g. Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc.
 </li>
 <li>
 Experience/knowledge of LLMs, LSTMs, GRUs, transformers will be an advantage. Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence is expected. A good understanding of any of the cloud platforms &ndash; AWS, Azure or GCP.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Work closely with cross-functional teams, including clinical data engineers, clinical data modelers, front end developers, QA/CSV specialists, clinical SMEs, project managers, and cloud/infrastructure professionals, to understand project requirements and deliver high-quality solutions.
 </li>
 <li>
 Maintain thorough documentation of methodologies, processes, and results of the models. Prepare and present detailed reports on assigned projects to stakeholders, including client and internal leadership illustrating the impact and effectiveness of data-driven strategies.
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 Gurugram, Noida, Bengaluru, Hyderabad, Pune
 
 
 
 
 
 
 Qualifications:
 
 
 <ol>
 <li>
 A Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Life Sciences, or a strong experience in clinical data science is preferred.
 </li>
 <li>
 At least 8 years of hands-on experience in data analysis, data mining, and predictive analytics, preferably within the context of clinical R&amp;D.
 </li>
 <li>
 Strong understanding of clinical R&amp;D processes in life sciences organizations and the data and technologies used in these processes.
 </li>
 <li>
 Proven programming skills in Python/PySpark. Experience with machine learning frameworks like TensorFlow, Keras, PyTorch, or Scikit-learn.
 </li>
 <li>
 Proficiency in using analytical and data visualization tools such as SQL, Tableau, Power BI, or similar platforms.
 </li>
 <li>
 Excellent communication skills with the ability to convey complex data-driven insights to non-technical stakeholders.
 </li>
 <li>
 Results-oriented mindset, with a focus on defining and measuring success and delivering tangible outcomes.
 </li>
 <li>
 High ethical standards and integrity, with a commitment to compliance and transparency.
 </li>
 </ol>
</div>

Clinical Data Scientist

Cisco

<div>
 
 Meet the Team
 
 
 
 The
 
 Product Operations &ndash; Business Intelligence (BI) team
 
 sits at the heart of the Supply Chain organization, where data meets real-world decision-making. We tackle some of the most complex operational challenges by combining advanced analytics, BI solutions, and cutting-edge AI/GenAI capabilities. Our mission is to transform data into action&mdash;driving deeper insights, increasing operational efficiency, and enabling smarter, faster decisions across the entire supply chain. We don&rsquo;t just report on the business; we help shape its future.
 
 
 
 Your Impact
 
 
 
 This role is ideal for someone who thrives on solving complex data problems, designing AI solutions, and contributing to large-scale transformation programs.
 
 
 
 As a Data Scientist, You Will
 
 
 
 <ul>
 <li>
 Partner with business units and supply chain stakeholders to understand their analytics needs and translate them into scalable AI solutions.
 </li>
 <li>
 Design, develop, and implement intuitive models and AI solutions
 </li>
 <li>
 Take the lead on supply chain transformation analytics&mdash;owning everything from doing POCs to production solution deployment.
 </li>
 <li>
 Collaborate with architects, business partners (GPOs, BU verticals), and IT to define use cases and design data-driven capabilities that deliver tangible business outcomes.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, AI/ML, or a related field.
 </li>
 <li>
 6+ years of experience in data science or applied machine learning roles, ideally within supply chain, operations, or manufacturing domains.
 </li>
 <li>
 Hands-on experience with: Large Language Models (LLMs),Transformer architectures and fine-tuning model to Domain specific needs.
 </li>
 <li>
 Generative AI models using frameworks such as Hugging Face, LangChain, Lang Smith, Lang graph or OpenAI APIs, Llama index
 </li>
 <li>
 Experience in building AI Agents and other advanced concepts such as Agent2Agent (A2A) Model context protocol (MCP) for sophisticated Gen AI solutions.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with software engineering skills, real-time analytics, ML model APIs, Rest API development or serverless architectures.
 </li>
 <li>
 Familiarity with data governance, privacy, and responsible AI practices.
 </li>
 <li>
 Prior work in supply chain analytics or operational data science.
 </li>
 <li>
 Google Cloud certifications (e.g., Professional Data Engineer, ML Engineer) are a plus.
 
 
 </li>
 </ul>
 Why Cisco?
 
 
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 
 
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 
 
 We are Cisco, and our power starts with you.
</div>

Data Scientist – Supply Chain

Qualitest

<div>
 Job description:
 
 
 Data Scientist &ndash; QA &amp; AI Enablement
 
 
 Role Summary
 
 
 
 We are seeking one Data Scientist to join the Hub component of the Client hub-and-spoke engagement model.The Data Scientist will play a key role in supporting the deployment, refinement, and optimization of Coco bots and AI-driven quality engineering initiatives.
 
 Key Responsibilities
 <ul>
 <li>
 
 Participate in daily stand-up meetings, provide status updates, highlight risks, and deliver daily and weekly status reports.
 
 </li>
 <li>
 
 Collaborate with business and technical stakeholders to gather representative and high-quality datasets for AI model development and testing.
 
 </li>
 <li>
 
 Perform statistical analysis, data visualization, data cleansing, and preparation of datasets for AI/ML testing and validation.
 
 </li>
 <li>
 
 Evaluate the effectiveness, reliability, and accuracy of new and existing data sources using appropriate data assessment techniques.
 
 </li>
 <li>
 
 Apply predictive modeling techniques to improve QA efficiency and optimize broader business outcomes.
 
 </li>
 <li>
 
 Coordinate with cross-functional teams to implement data models and monitor their operational outcomes.
 
 </li>
 <li>
 
 Develop and maintain processes, metrics, and tools to continuously monitor model performance, data quality, and accuracy over time.
 
 </li>
 </ul>
 Required Skills &amp; Experience (Must Haves)
 <ul>
 <li>
 
 
 AI / Machine Learning:
 
 Proficiency level 4/5
 
 </li>
 <li>
 
 
 Predictive Modeling:
 
 Proficiency level 4/5
 
 </li>
 <li>
 
 
 Data Modeling Implementation:
 
 Proficiency level 3/5
 
 </li>
 </ul>
</div>

Data Scientist- QA and AI  Enablement

LTIMindtree

<div>
 
 
 Job Title: Data Scientist &ndash; AI/ML/DL
 
 
 
 
 
 
 
 
 
 
 Location:
 
 PAN India
 
 
 
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking a skilled Data Scientist with expertise in AI/ML/DL and Generative AI to join our dynamic team. The ideal candidate will have hands-on experience in advanced AI frameworks, cloud platforms, and modern data science tools.
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML/DL models for real-world applications.
 </li>
 <li>
 Work on Generative AI solutions and multi-modal language models.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver scalable AI solutions.
 </li>
 <li>
 Optimize models for performance and accuracy across platforms.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 Experience:
 
 3&ndash;6 years in Data Science and AI/ML/DL domain.
 </li>
 <li>
 Hands-on experience in
 
 Generative AI
 
 and
 
 Deep Learning
 
 .
 </li>
 <li>
 Strong programming skills in
 
 
 Python
 
 
 
 and familiarity with
 
 
 
 Linux/Windows
 
 
 
 environments.
 
 </li>
 <li>
 
 
 Proficiency with data science toolkits:
 
 
 
 TensorFlow
 
 ,
 
 Keras
 
 ,
 
 PyTorch
 
 ,
 
 Pandas
 
 ,
 
 NumPy
 
 , etc.
 </li>
 <li>
 
 
 Understanding of AI tool stack:
 
 NeMo Framework
 
 ,
 
 NIMs
 
 .
 </li>
 <li>
 
 
 Certifications:
 
 
 
 
 Preferably NVIDIA Certified Associate on GenAI.
 </li>
 <li>
 
 
 Exposure to GenAI frameworks:
 
 
 LangChain, LlamaIndex, LangGraph, CrewAI, Nemo Agent Toolkit (NAT).
 </li>
 <li>
 
 
 Knowledge of DL/GenAI algorithms:
 
 Transformers
 
 ,
 
 CNN
 
 ,
 
 RNN
 
 , etc.
 </li>
 <li>
 Experience with
 
 NLP
 
 ,
 
 Large Language Models
 
 , and multi-modal models like GPT, LLaMa, Mistral, Qwen, Nemotron.
 </li>
 <li>
 Familiarity with
 
 Cloud platforms
 
 : Azure, AWS, or GCP.
 </li>
 <li>
 Experience with
 
 Git
 
 ,
 
 Docker
 
 , and
 
 Kubernetes
 
 .
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Work on cutting-edge AI/ML projects.
 </li>
 <li>
 Collaborative and innovative work environment.
 </li>
 <li>
 Flexible location across PAN India.
 </li>
 </ul>
 
 
 
</div>

Data Scientist – AI/ML/DL

Amazon

<div>
 
 Description
 
 
 
 Are you passionate about solving complex logistics challenges? Our Analytics team is at the forefront of enhancing delivery experiences through data-driven solutions and innovative technology. As a Research Scientist, you will join a team dedicated to optimizing our delivery network, ensuring reliable and efficient service to our customers. We are seeking an enthusiastic, customer-centric professional with strong analytical capabilities to drive impactful projects, implement advanced solutions, and develop scalable processes.
 
 
 In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of our delivery operations. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science capabilities and program management skills, thriving in an environment that requires independent decision-making and comfort with ambiguity.
 
 
 This role offers the opportunity to make a significant impact on our advanced logistics network while working with pioneering technology and data science applications.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of building machine learning models for business application experience
 </li>
 <li>
 Knowledge of programming languages such as C/C++, Python, Java or Perl
 </li>
 <li>
 Experience programming in Java, C++, Python or related language
 </li>
 <li>
 Experience with neural deep learning methods and machine learning
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
 </li>
 <li>
 3+ years of extensive relevant research experience
 </li>
 <li>
 Deep expertise in Machine Learning
 </li>
 <li>
 Proficiency in programming
 </li>
 <li>
 Core competency in mathematics and statistics
 </li>
 <li>
 Track record of successful projects in algorithm design and product development
 </li>
 <li>
 Publications at peer-reviewed conferences or journals
 </li>
 <li>
 Strategic thinker with good execution skills
 </li>
 <li>
 Exhibits excellent business judgment
 </li>
 <li>
 Effective verbal and written communication skills
 </li>
 <li>
 Experience working with real-world data sets and building scalable models from big data
 </li>
 <li>
 Experience with modern modeling tools and frameworks such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow
 </li>
 <li>
 Experience with large scale distributed systems
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of building machine learning models for business application experience
 </li>
 <li>
 Knowledge of programming languages such as C/C++, Python, Java or Perl
 </li>
 <li>
 Experience programming in Java, C++, Python or related language
 </li>
 <li>
 Experience with neural deep learning methods and machine learning
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
 </li>
 <li>
 3+ years of relevant, broad research experience
 </li>
 <li>
 Deep expertise in Machine Learning
 </li>
 <li>
 Proficiency in programming
 </li>
 <li>
 core competency in mathematics and statistics.
 </li>
 <li>
 Track record of successful projects in algorithm design and product development.
 </li>
 <li>
 Publications at top-tier peer-reviewed conferences or journals.
 </li>
 <li>
 prior experience with mentorship and/or management of scientists
 </li>
 <li>
 Thinks strategically, but stays on top of tactical execution.
 </li>
 <li>
 Exhibits excellent business judgment; balances business
 </li>
 <li>
 Effective verbal and written communication skills
 </li>
 <li>
 Experience working with real-world data sets and building scalable models from big data.
 </li>
 <li>
 Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow,
 </li>
 <li>
 Experience with large scale distributed systems
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Karnataka
 
 
 Job ID: A3075733
</div>

Research Scientist, Last Mile Science

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