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data scientist/gen ai_software engineering - vice president - software engineering Jobs in Mangaluru

data scientist/gen ai_software engineering - vice president - software engineering

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data scientist gen ai software engineering vice president software engineering

Morgan Stanley

<div>
 
 Morgan Stanley
 
 
 
 
 Data Scientist/Gen AI_Software Engineering - Vice President - Software Engineering
 
 
 
 We&rsquo;re seeking someone to join our team as Vice President - Data Scientist to help with designing and implementing complex Machine Learning and Artificial Intelligence models and solving business problems using various Analytical and AI tools.
 
 
 In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineering position at Vice President level, which is part of the job family
 
 
 responsible for developing and maintaining software solutions that support business needs.
 
 
 Institutional Securities Technology (IST) develops and oversees the overall technology strategy and bespoke technology solutions to drive and enable the institutional businesses and enterprise-wide functions. IST&rsquo;s &lsquo;clients&rsquo; include Fixed Income, Equities, Commodities, Investment Banking, Research, Prime Brokerage and Global Capital Markets.
 
 
 Advisory is responsible for end-to-end process life cycle support for Investment Banking, Global Capital Markets and Research with a focus on efficiency, scale, and time to market. Sales Distribution develops technology for the firm's IED and FID Sales and Distribution business units, creating application synergies across the businesses various platforms
 
 
 Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
 
 
 
 What You&rsquo;ll Do In The Role
 
 
 
 <ul>
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 Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions
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 The role will require the candidate to work independently with Research business and vendors on analysing and defining problem statements, and work closely with development teams on designing and implementing the solution and managing the delivery of various products.
 </li>
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 Provide technical leadership and vision for software development projects.
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 Define technical architecture and roadmap for large-scale, mission-critical systems.
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 Establish and communicate departmental goals and objectives aligned with business priorities.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring To The Role
 
 
 
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 Ability to effectively manage multiple functions or guide junior staff and initiatives.
 </li>
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 Advanced understanding of business line and discipline with some knowledge of competitive environment and other disciplines.
 </li>
 <ul>
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 10+ years of experience in designing and implementing AI/ML models in the following areas:
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 Supervised &amp; Unsupervised Learning
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 Deep Learning (CNN, RNN, LSTM, Transformers)
 </li>
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 Prompting, HybridRAG, Chunking/Embedding, and Fine Tuning experience with OpenAI models and open source LLMs
 </li>
 <li>
 Natural Language Processing (Sentiment Analysis, Embeddings, Summarization, Chatbot etc.)
 </li>
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 Entity identification/extraction and knowledge discovery from structured and unstructured content
 </li>
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 Expert in Python, R, Spark, TensorFlow, Snowflake, Databricks and other machine learning / LLM tools
 </li>
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 Familiar with noSQL and vector databases
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 Experience in CPU/GPU cloud environments
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 Excellent communication skills and basic knowledge in finance
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 PhD or Master&rsquo;s degree in Mathematics, Statistics, Data Science, Computer Science, or other related fields
 </li>
 <li>
 At least 6 years' relevant experience would generally be expected to find the skills required for this role
 
 
 </li>
 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 
 
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 
 
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
</div>

Data Scientist/Gen AI_Software Engineering - Vice President - Software Engineering

Tata Communications

<div>
 
 About The Company
 
 
 
 Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications
 
 
 
 Team &ndash;
 
 Artificial Intelligence Centre of Excellence
 
 
 
 Role:
 
 Data Scientist
 
 
 
 Location:
 
 Bengaluru
 
 
 
 Job Type:
 
 Full-time
 
 
 
 Experience Level:
 
 1-5 Years
 
 
 
 Position Overview
 
 
 
 We are seeking an experienced Data Scientist with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). The ideal candidate will possess 1 to 5 years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators for Tata Communications products and services.
 
 
 
 Detailed Job Description &amp; Key Responsibilities
 
 
 
 <ul>
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 Research and implement state-of-the-art ML algorithms and tools to build PoCs and MVPs
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 Develop, Test, and Deploy machine learning models for various business and Telco use cases.
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 Perform data preprocessing, feature engineering and ML/DL model evaluation.
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 Optimize and fine-tune models for performance and scalability.
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 Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT
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 Build and refine RAG models to improve information retrieval and answer generation systems.
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 Integrate RAG methods into existing applications to enhance data accessibility and user experience.
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 Work closely with cross-functional teams including software engineers, product managers, and domain experts.
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 Communicate technical concepts to non-technical stakeholders effectively.
 </li>
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 Document processes, methodologies, and model development for internal and external stakeholders.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field from reputed institutions.
 </li>
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 Strong knowledge of probability and statistics.
 </li>
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 Working knowledge of machine learning and deep learning skills.
 </li>
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 Strong knowledge of programming knowledge &ndash; Python, SQL and commonly used frameworks &amp; tools &ndash; PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex
 </li>
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 Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode.
 </li>
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 Excellent problem-solving skills and a proactive attitude.
 </li>
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 Strong communication and teamwork abilities.
 </li>
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 Ability to manage multiple projects and meet deadlines
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 Interview will involve coding tests.
 </li>
 </ul>
</div>

Assistant Manager - Technology & Platform Development

Capgemini

<div>
 
 Job Description
 
 
 
 Data Scientist Description:
 
 
 Degree and Qualification:
 
 
 <ul>
 <li>
 BE/B.Tech, ME/M.Tech in CSE/IT, Statistics, or a related field.
 </li>
 <li>
 Master&rsquo;s degree in data science, AI, or a related field is preferred.
 
 
 </li>
 </ul>
 Number of Years of Experience as a Data Analyst / Scientist: 3-8 years
 
 
 Language Skills:
 
 
 <ul>
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 Good communication skills in English, proficiency in German is an added advantage.
 
 
 </li>
 </ul>
 Domain Knowledge:
 
 
 <ul>
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 Strong understanding of supply chain and supplier performance evaluation processes.
 </li>
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 Familiarity with procurement, supplier management, inbound processes, and logistics concepts like goods receipt, delivery note, and part numbers.
 </li>
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 Basic knowledge of plant logistics and operational efficiency.
 
 
 </li>
 </ul>
 Technical Skills: Python, PySpark, SQL, Power BI (Advanced Level), Databricks, Azure/AWS, Machine Learning, Data Visualization, TensorFlow, PyTorch, and deploying ML models in production.
 
 
 Digital Expertise:
 
 
 <ul>
 <li>
 Power BI Desktop (advanced):
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 Advanced knowledge of building dashboards, creating data models, and writing DAX expressions,
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 Ability to develop custom visualizations in Power BI using Python scripts / other suitable methods to create charts and data representations not supported natively by Power BI
 </li>
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 Ability to write Python scripts to process and transform data within Power Query for advanced analytics and visualization scenarios.
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 Strong design / Power BI UI/ UX skills to ensure Power BI dashboards aligns with business objectives and effectively tells a data-driven story.
 </li>
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 Power BI Service (advanced):: Experience in publishing, refreshing, and managing reports in Power BI Service, including RLS and data gateways.
 </li>
 <li>
 Machine Learning &amp; AI:
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 Experience in building predictive models using machine learning algorithms such as regression, classification, clustering, and anomaly detection.
 </li>
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 Familiarity with AI concepts like neural networks, NLP, or reinforcement learning.
 </li>
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 Data Wrangling &amp; Analysis:
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 Proficiency in Python and popular data libraries like Pandas, NumPy, and Scikit-learn.
 </li>
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 Experience in PySpark for distributed data processing and large-scale data transformation.
 </li>
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 Strong SQL skills for querying relational databases, optimizing queries, and handling complex datasets.
 </li>
 <li>
 Communication &amp; Stakeholder Management:
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 Ability to effectively communicate technical insights to non-technical stakeholders.
 </li>
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 Strong customer-facing communication skills and experience collaborating with cross-functional teams.
 
 
 </li>
 </ul>
 Behavioral / Personal Skills:
 
 
 <ul>
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 Willingness to learn and apply new skills.
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 High adaptability and readiness to handle unstructured tasks.
 </li>
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 Strong analytical mindset, with a focus on problem-solving and result-oriented thinking.
 </li>
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 Team player with excellent communication and interpersonal skills.
 
 
 </li>
 </ul>
 Job Location: Bengaluru
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Job Description - Grade Specific
 
 
 
 Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
</div>

Data Scientist Engineer

Fractal

<div>
 It's fun to work in a company where people truly BELIEVE in what they are doing!
 
 
 
 We're committed to bringing passion and customer focus to the business.
 
 
 
 
 Job Title:
 
 Data Scientist/Senior Data Scientist
 
 
 
 Location:
 
 Bangalore/Mumbai/Gurgaon/Chennai/Pune/Noida/Hyderabad
 
 
 
 Responsibilities
 
 
 
 <ul>
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 Design and implement advanced solutions utilizing Large Language Models (LLMs).
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 Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
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 Conduct research and stay informed about the latest developments in generative AI and LLMs.
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 Develop and maintain code libraries, tools, and frameworks to support generative AI development.
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 Participate in code reviews and contribute to maintaining high code quality standards.
 </li>
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 Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
 </li>
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 Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
 </li>
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 Possess strong analytical and problem-solving skills.
 </li>
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 Demonstrate excellent communication skills and the ability to work effectively in a team environment.
 
 
 
 </li>
 </ul>
 
 Primary Skills
 
 
 
 <ul>
 <li>
 Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&amp;A and chatbots, search, Document AI, summarization, and content generation.
 
 
 
 </li>
 </ul>
 AND/OR
 
 
 <ul>
 <li>
 Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.
 </li>
 <li>
 Generative AI:
 </li>
 <ul>
 <li>
 Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
 </li>
 <li>
 Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
 </li>
 </ul>
 <li>
 Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
 </li>
 <li>
 Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
 
 
 </li>
 </ul>
 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
 
 
 Not the right fit? Let us know you're interested in a future opportunity by clicking
 
 Introduce Yourself
 
 in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
</div>

Data Scientist/Senior Data Scientist - Gen AI (3 to 5 Years)

<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

HiLabs

<div>
 
 
 The HiLabs Story
 
 
 
 
 HiLabs is a leading provider of AI-powered solutions to clean dirty data, unlocking its hidden potential for healthcare transformation. HiLabs is committed to transforming the healthcare industry through innovation, collaboration, and a relentless focus on improving patient outcomes.
 
 
 
 
 HiLabs Team
 
 
 
 
 <ul>
 <li>
 Multidisciplinary industry leaders
 </li>
 <li>
 Healthcare domain experts
 </li>
 <li>
 AI/ML and data science experts
 </li>
 <li>
 Professionals hailing from the worlds best universities, business schools, and engineering institutes including Harvard, Yale, Carnegie Mellon, Duke, Georgia Tech, Indian Institute of Management (IIM), and Indian Institute of Technology (IIT).
 
 
 </li>
 </ul>
 As a Data Scientist at HiLabs, you will partner closely with a team of stake holders, product managers, and data engineers to solve real problems in healthcare domain. HiLabs is looking for great problem solvers who can tap into the potential of data and deliver scalable and robust data products. Our potential member would work on developing and implementing machine learning algorithms for various HiLabs Products and Solutions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Leveraging AI/ML techniques and solutions to identify and mathematically interpret complex healthcare problems.
 </li>
 <li>
 Deploy and optimize machine learning solutions on massive datasets using big data technologies.
 </li>
 <li>
 Develop and prototype AI algorithms and software tools.
 </li>
 <li>
 Implement enhancements to existing algorithmic/deep learning solutions.
 </li>
 <li>
 Conduct quantitative data analysis using a variety of datasets.
 </li>
 <li>
 Increase the efficiency and improve the quality of solutions offered.
 </li>
 <li>
 Understand business use cases and pull the necessary data from various sources to provide key insights to stakeholders. Build and deploy additional functionalities as per client requirements.
 </li>
 <li>
 Leverage recent advances in machine learning technologies and oversee the team&rsquo;s training.
 </li>
 <li>
 For Lead/Sr. Data Scientists-Lead a team of Data Scientists, developers as well as clinicians to strategize, design and evaluate AI based solutions to healthcare problems.
 
 
 </li>
 </ul>
 Desired Profile:.
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree/Master&rsquo;s Degree in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college.
 </li>
 <li>
 Hands-on Software Development Skills (Scala-Preferred).
 </li>
 <li>
 Experience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms.
 </li>
 <li>
 Knowledge of statistical techniques, linear algebra, numerical optimization.
 </li>
 <li>
 Knowledge of ML theory such as bias variance tradeoff, regularization, loss functions and experienced in A/B testing.
 </li>
 <li>
 Know all the general best practices of Machine Learning.
 </li>
 <li>
 Ability to work closely with Domain experts to develop tools/algorithms needed to answer research questions in their studies.
 </li>
 <li>
 Excellent Communication Skills (with the ability to explain developed tools and ML algorithms to a non-technical audience).
 </li>
 <li>
 Ability to formulate operational problems in healthcare domain as technical problems that allows for reuse of leading research in the area.
 </li>
 <li>
 Proven ability to work independently to learn new technologies, techniques, processes, languages, platforms, systems.
 </li>
 <li>
 Strong analytical, inferential, critical thinking, and creative problem-solving skills.
 </li>
 <li>
 Self-starter with ability to work both independently and with a team.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Deep Learning Frameworks such as Keras, Tensorflow, PyTorch,Mxnet etc.
 </li>
 <li>
 Experience with interpretability of deep learning models.
 </li>
 <li>
 Big Data Skills (Hadoop, Spark, recent deep learning platforms).
 </li>
 <li>
 Experience with text mining tools and techniques including in areas of summarization, search (e.g. ELK Stack), entity extraction, training set generation (e.g. Snorkel) and anomaly detection.
 </li>
 <li>
 Expert software development skills including developing and maintaining production quality code
 
 
 </li>
 </ul>
 
 
 HiLabs Total Rewards
 
 
 
 
 Competitive Salary, Accelerated Incentive Policies, H1B sponsorship, Comprehensive benefits package that includes ESOPs, financial contribution for your ongoing professional and personal development, medical coverage for you and your loved ones, 401k, PTOs &amp; a collaborative working environment, Smart mentorship, and highly qualified multidisciplinary, incredibly talented professionals from highly renowned and accredited medical schools, business schools, and engineering institutes.
 
 
 CCPA disclosure notice - https://www.hilabs.com/privacy
</div>

Data Scientist

Explore 644+ Data scientist gen ai software engineering vice president software engineering in Mangaluru this November. Find roles across top companies and apply now to boost your career.

644 data scientist gen ai software engineering vice president software engineering jobs IN Mangaluru

Data Scientist/Gen AI_Software Engineering - Vice President - Software Engineering

Data Scientist/Gen AI_Software Engineering - Vice President - Software Engineering

Assistant Manager - Technology & Platform Development

Data Scientist Engineer

Data Scientist/Senior Data Scientist - Gen AI (3 to 5 Years)

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

Data Scientist