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Genpact

<div>
 
 Inviting applications for the role of
 
 Data Scientist
 
 
 
 
 
 
 The role involves Designing and Implementing complex machine learning and Artificial Intelligence model. Solving business problems using Analytical and Big data tool. The role will require the candidate to work independently with research business and Vendors on analyzing and defining problem statements, and work closely with development team on designing and implementing the solutions and managing the delivery of various products.
 
 
 
 
 <ul>
 <li>
 Work Location: Mumbai &amp; Bangalore
 </li>
 </ul>
 
 
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Designing and implementing complex machine learning and Artificial Intelligence model
 </li>
 <li>
 Work closely with development team on designing and implementing the solutions and managing the delivery of various products
 </li>
 <li>
 Participate in training sessions.
 </li>
 <li>
 Stay informed about the developments in AI and LLMs.
 </li>
 </ul>
 
 
 
 
 Qualifications we seek in you!
 
 
 
 
 
 Minimum Qualifications / Skills
 
 
 
 
 <ul>
 <li>
 5+ years of experience in designing and implementing AI/ML models in the following areas:
 </li>
 </ul>
 
 
 
 <ol>
 <li>
 Supervised and Unsupervised learning
 </li>
 <li>
 Deep Learning (CNN, RNN, LSTM, Transformers)
 </li>
 <li>
 Prompting, RAG and fine-tuning experience with OpenAI models and Open Source LLMs
 </li>
 <li>
 Natural language Processing (Sentiment Analysis, Embedding, Summarization, Chatbot etc.) Entity identification / extraction and Knowledge discovery from structured and unstructured content
 </li>
 </ol>
 <ul>
 <li>
 Expert in python, R, Spark, Tensor, Flow, Snowflake, Databricks and Other machine learning / LLM tools
 </li>
 <li>
 Familiar with NoSQL and vector databases
 </li>
 <li>
 Experience in CPU/GPU cloud environment
 </li>
 <li>
 PhD or master&rsquo;s degree in mathematics, Statistics, Data Science, Computer Science or Other related fields
 </li>
 </ul>
 
 
</div>

Data Scientist

Impetus

<div>
 
 Experience: 5 - 12 years
 
 
 
 
 
 Location: Bangalore, Noida, Gurgaon, Pune, Hyderabad, Indore
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 <ul>
 <li>
 Hands on experience of working with LLM (Large Language Models) or LangChain and OpenAI in particular.
 </li>
 <li>
 Implementing and fine tuning the AI-generated text prompts using LLMs (eg:-GPT4)
 </li>
 <li>
 Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc.
 </li>
 <li>
 Ability to understand business requirements.
 </li>
 <li>
 Usecase derivation and solution creation from structured/unstructured data
 </li>
 <li>
 Storytelling, Business Communication and Documentation
 </li>
 <li>
 Programming Skills &ndash; Python, Scikit-Learn, TensorFlow, PyTorch, Keras
 </li>
 <li>
 Exploratory Data Analysis
 </li>
 <li>
 Machine Learning and Deep Learning Algorithms
 </li>
 <li>
 Model building, Hyperparameter tuning, and Model performance metrics
 </li>
 <li>
 MLOps, Data Pipeline, Data engineering
 </li>
 <li>
 Statistics Knowledge (Probability Distributions, Hypothesis Testing)
 </li>
 <li>
 Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP).
 </li>
 <li>
 ML services from Clouds such as AWS, GCP, Azure and Databricks
 </li>
 <li>
 
 Optional
 
 - Databricks, Big Data -Basic knowledge of Spark, Hive
 </li>
 </ul>
 
 
 
 
 
 Roles &amp; Responsibilities
 
 
 
 
 
 
 Acquire skills required for building Machine learning models and deploy them for production.
 
 
 Feature Engineering, EDA, Pipeline creation, Model training and hyperparameter tuning with structured and unstructed data sets.skills
 
 
 Develop Cloud based applictions including LLM/GenAI and deploy them into production.
 
 
 
</div>

AB InBev GCC India

<div>
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 Do You Dream Big?
 
 
 We Need You.
 
 
 
 
 
 
 Job Description
 
 
 
 
 Job Title: Data Scientist &ndash; Predictive Forecasting
 
 
 
 
 Location: Bangalore
 
 
 
 
 Reporting to: Senior Manager Analytics
 
 
 
 
 
 
 
 
 1) Purpose of the role
 
 
 
 We are seeking a talented
 
 Data Scientist
 
 specializing in
 
 Statistical modelling, Predictive modelling, Time Series Forecasting
 
 to join our dynamic analytics team. The ideal candidate will have a strong background in statistical modeling and machine learning, with a focus on time series analysis. You will be responsible for developing predictive models for Business Cycles and Monthly Performance Monitoring, generating actionable insights from Forecasts, and driving business value through data-driven decision-making.
 
 
 
 
 
 
 2)
 
 
 Key tasks &amp; accountabilities
 
 
 
 
 
 <ul>
 <li>
 
 Develop and Implement Models:
 
 </li>
 <li>
 Design and implement and Maintain time series forecasting models to predict key business metrics.
 </li>
 <li>
 Utilize advanced statistical techniques and machine learning algorithms to improve model accuracy.
 </li>
 <li>
 
 Data Analysis and Insight Generation:
 
 </li>
 <li>
 Analyze large and complex datasets to identify trends, patterns, and anomalies.
 </li>
 <li>
 Generate actionable insights that inform business strategies and operational improvements.
 </li>
 <li>
 
 Collaborate with Cross-Functional Teams:
 
 </li>
 <li>
 Work closely with deployment and development data scientists, and other stakeholders to understand business needs.
 </li>
 <li>
 
 Communicate Findings:
 
 </li>
 <li>
 Present analysis results and insights to stakeholders in a clear and concise manner.
 </li>
 <li>
 Prepare reports, visualizations, and dashboards to communicate data findings.
 </li>
 <li>
 
 Continuous Improvement:
 
 </li>
 <li>
 Monitor model performance and implement enhancements as necessary.
 </li>
 <li>
 Stay updated with the latest developments in data science, machine learning, and time series forecasting.
 </li>
 </ul>
 
 
 
 
 
 3) Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Level of educational attainment required.
 
 
 
 Bachelor&rsquo;s or master&rsquo;s degree in data science, Statistics, Mathematics, Computer Science, or a related field.
 
 
 
 
 
 
 Previous work experience
 
 
 <ul>
 <li>
 Minimum of 2 years of experience in data science or a related role.
 </li>
 <li>
 Proven experience with time series analysis and forecasting techniques is a plus
 </li>
 </ul>
 
 
 
 
 
 Technical Skills required
 
 
 
 
 
 <ul>
 <li>
 Python (Data Structures, Control Flow, OOPs, Modules and Packages, Exception Handling, VENV)
 </li>
 <li>
 MLOPs Fundamentals (Model Development, VCS, CI, CD, Serving, Monitoring &amp; Logging, Registry, Data and Model Lineage)
 </li>
 <li>
 Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow is a plus).
 </li>
 <li>
 Familiarity with data visualization tools (e.g., Power BI, matplotlib, plotly, streamlet).
 </li>
 <li>
 Data Analysis Tools - Pandas, Excel (Pivot Tables, Charts, Macros, Conditional Formatting, Shortcuts)
 </li>
 <li>
 Insights presentation - PowerPoint
 </li>
 <li>
 Version Control System (Git) - Basic Commands, Branching and Merging, Pull Requests &amp; Code Reviews
 </li>
 </ul>
 
 
 
 
 
 Other Skills required
 
 
 
 
 
 <ul>
 <li>
 Excellent problem-solving and analytical skills.
 </li>
 <li>
 Strong communication and presentation abilities.
 </li>
 <li>
 Ability to work collaboratively in a team environment.
 </li>
 </ul>
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 
 
 
 We dream big to create future with more cheers.
 
 
 
 
</div>

Alexion Pharmaceuticals, Inc.

<div>
 Job Title: Data Scientist
 
 
 Grade : C3
 
 
 Shift: 2 pm to 11 pm IST
 
 
 Role: Individual contributor role.
 
 
 Location: Manyata Tech Park, Bangalore.
 
 
 
 Introduction To Role
 
 
 
 Are you ready to dive into the world of commercial analytics and make a real impact? As a Data Scientist, you'll partner with cross-functional teams to tackle business challenges head-on using data-driven solutions. Your mission will be to design, develop, and deploy advanced AI and machine learning models, leveraging diverse healthcare datasets to uncover actionable insights and optimize business processes.
 
 
 
 Accountabilities
 
 
 
 <ul>
 <li>
 Collaborate with the Commercial Data Science team to identify and leverage internal and external data for business solutions.
 </li>
 <li>
 Support the design, development, and deployment of AI and machine learning models tailored to business needs.
 </li>
 <li>
 Assist with large-scale projects using both online/offline, structured/unstructured, and set-top box data to build customer-centric models and optimization tools.
 </li>
 <li>
 Maintain and update scalable analytical models for recurring analyses and future use cases.
 </li>
 <li>
 Conduct analytics using HCP and de-identified patient-level healthcare data to generate disease insights and support lead generation.
 </li>
 <li>
 Develop machine learning models to analyze influences and interactions throughout the patient healthcare journey.
 </li>
 <li>
 Optimize existing and create new ML tools and models to improve patient finding and HCP identification processes.
 </li>
 <li>
 Apply predictive modeling to enhance customer experience, targeting, and other business outcomes.
 </li>
 <li>
 Collaborate with Commercial teams and the AI community to develop best practices and cross-functional, value-driving opportunities.
 </li>
 <li>
 Support ad hoc analyses and production operations as needed.
 
 
 </li>
 </ul>
 
 Essential Skills/Experience
 
 
 
 <ul>
 <li>
 BS/MS in a quantitative discipline such as Computer Science, Data Science, Engineering, Information Systems, or Economics, with solid foundation in statistical analysis and modeling.
 </li>
 <li>
 At least 4 years&rsquo; experience in statistical and predictive modeling, ideally within consulting or fintech or related industries.
 </li>
 <li>
 Excellent communication skills and the ability to convey complex findings to technical and non-technical audiences.
 </li>
 <li>
 Deep experience with analytic tools and languages, such as Python, Dataiku, Databricks, Qlik, and Power BI; strong familiarity with machine learning and AI methods.
 </li>
 <li>
 Proven skills in building and extracting insights from statistical models (e.g., linear regression, clustering, random forest, time series, and neural networks).
 </li>
 <li>
 Hands-on experience working with EHR, administrative claims, and laboratory data (such as Prognos, IQVIA, Komodo, or Symphony claims data).
 </li>
 <li>
 Technical knowledge of database structures, query languages, structured programming, and large dataset querying using ANSI SQL; experience with relational databases.
 </li>
 <li>
 Role is primarily office-based and requires use of a computer, communication via phone/video/messaging, problem-solving, collaboration, and general availability during standard business hours, with or without accommodations.
 
 
 </li>
 </ul>
 
 Desirable Skills/Experience
 
 
 
 <ul>
 <li>
 Ability to analyze and visualize data using modern data visualization techniques.
 </li>
 <li>
 Skilled in data manipulation, cleansing, and interpretation.
 </li>
 <li>
 Domain experience in healthcare, or biopharmaceutical industries.
 
 
 </li>
 </ul>
 When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
 
 
 At AstraZeneca's Alexion division, we champion diversity and foster an energizing culture where new ideas thrive. Our commitment to inclusion ensures that life-changing innovations can come from anywhere. We celebrate each other's successes and take pride in giving back to our communities. Here, your career is more than just a path; it's a journey to making a difference where it truly counts.
 
 
 Ready to make a difference? Apply now to join our team!
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
 
 
 Date Posted
 
 
 
 07-Oct-2025
 
 
 
 Closing Date
 
 
 
 25-Oct-2025
 
 
 Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion.com. Alexion participates in E-Verify.
</div>

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
 
 
 
 Job Description
 
 
 
 Join the LSS-AI team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-AI team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value. As a member of the LSS-AI team, you will work on cutting-edge projects, including building Agentic and GenAI-powered search and recommendation systems, tuning and applying domain-specific LLMs, and collaborating with our partner vendors like OpenAI. You will have the opportunity to work with passionate AI engineers, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
 
 
 As part of a new and fast growing team of top-notch scientists and engineers, you will experience all the excitement and dynamism of a startup along with the scale and technology of a world-class enterprise.
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop advanced embedding models (text, graph, structured data) to capture semantic meaning of companies, people, and signals for retrieval and ranking.
 </li>
 <li>
 Design and train ranking models that optimize search relevance, entity discovery, and lead recommendations across millions of entities.
 </li>
 <li>
 Build large-scale classification models to automatically tag industries, technologies, buyer intent, and other business signals.
 </li>
 <li>
 Deploy and monitor production ML pipelines for embedding generation, model inference, and continuous retraining with real-world feedback loops.
 </li>
 <li>
 Develop state-of-the-art supervised and semi-supervised models that scale to hundreds of millions of companies, professionals, and business signals.
 </li>
 <li>
 Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.
 </li>
 <li>
 Mentor junior ML engineers in applying advanced machine learning techniques to core problems such as entity resolution, lead scoring, and search relevance.
 </li>
 <li>
 Represent LinkedIn in academic and industry circles by showcasing our innovation, data products and scientific expertise in bringing game-changing data products to market
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree or related practical experience
 </li>
 <li>
 2+ years of experience in at least one of the following areas: Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's degree in computer science, statistics, engineering, mathematics, or similar quantitative discipline.
 </li>
 <li>
 3+ years of hands-on experience working on Recommendation systems, Machine Learning, Statistical modeling/inference, Data mining, Graph/geometric deep learning, Large Language Models, Generative AI, Distributed Training.
 </li>
 <li>
 Understanding of standard programming and software engineering practices
 </li>
 <li>
 Proven track record of publishing at academic and industry venues
 </li>
 <li>
 Ability and eagerness to program
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Generative-AI
 </li>
 <li>
 Large Language Models
 
 
 
 </li>
 </ul>
 You will Benefit from our Culture
 
 
 We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
 
 
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Software Engineer, Machine Learning

hackajob

<div>
 
 
 hackajob
 
 is collaborating with
 
 UnitedHealth Group
 
 to connect them with exceptional tech professionals for this role.
 
 
 
 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start
 
 Caring. Connecting. Growing together.
 
 
 
 
 Primary Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and analyze data from various sources
 </li>
 <li>
 Design and maintain data pipelines to ensure data quality and integrity
 </li>
 <li>
 Develop and maintain reports and dashboards in excel and Power BI
 </li>
 <li>
 Utilize SQL and Python and PySpark for data manipulation and analysis
 </li>
 <li>
 Identify trends, patterns, and anomalies in data sets
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements and translate them into data solutions
 </li>
 <li>
 Communicate findings and insights to stakeholders through reports and presentations
 </li>
 <li>
 Develop and implement predictive models using machine learning techniques
 </li>
 <li>
 Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in data science, Statistics, Computer Science, or a related field
 </li>
 <li>
 Proven experience as a Data Scientist/Analyst or similar role
 </li>
 <li>
 Experience with data pipeline design and implementation
 </li>
 <li>
 Proficiency in SQL, Excel, Power BI, Python and PySpark
 </li>
 <li>
 Solid analytical and problem-solving skills
 </li>
 <li>
 Proven excellent communication and teamwork abilities
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Azure cloud platform
 </li>
 <li>
 Experience with data visualization tools like Power BI
 </li>
 <li>
 Knowledge of machine learning frameworks
 
 
 </li>
 </ul>
 
 At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
 
</div>

Data Analyst 2

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

EY - GDS Consulting - AI And DATA -Gen AI - Senior

Explore 166+ Machine learning engineer in Mangaluru this October. Find roles across top companies and apply now to boost your career.

166 machine learning engineer jobs IN Mangaluru

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Software Engineer, Machine Learning

Data Analyst 2

EY - GDS Consulting - AI And DATA -Gen AI - Senior