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Dew Software

<div>
 
 
 Position: Data Scientist
 
 
 
 
 Duration: Full-time
 
 
 
 
 Location: Hyderabad (Onsite)
 
 
 
 
 
 
 
 Job Description:
 
 
 
 OOPs in python (Object Oriented programming concepts)
 
 
 - - Data structures /List comprehensions in Python
 
 
 - - NumPy/Pandas/Scikit basics
 
 
 - - Statistics Essentials
 
 
 - - Exploratory Data Analysis
 
 
 - - ML / DL basics, applications, differences
 
 
 Strong proficiency in Python (OOPs concepts, DSA for problem solving) and hands on SQL experience
 
 
 - - Experience with statistical analysis, data wrangling, and feature engineering on large datasets
 
 
 - - Hands-on experience building and deploying machine learning and deep learning models using frameworks like scikit-learn, TensorFlow, or PyTorch
 
 
 DSA means data structure and algorithms
 
 
 
 
 
 
 Qualifications:
 
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, or related field.
 
 
 &bull; Proficiency in Python and popular libraries (e.g., NumPy, Pandas, Scikit-learn).
 
 
 &bull; Strong understanding of statistical analysis and machine learning algorithms.
 
 
 &bull; Strong SQL skills a plus.
 
 
 &bull; Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
 
 
 &bull; Excellent problem-solving skills and ability to work independently.
 
 
 
</div>

Data Scientist

YASH Technologies

<div>
 
 
 Job Overview:
 
 
 
 
 Locations- Indore/Pune/Hyderabad/Bangalore
 
 
 
 
 
 
 We are looking for a
 
 AI/ML Developer
 
 to join our team of researchers, data scientists, and developers. You will work on cutting-edge AI solutions across industries such as commerce, agriculture, insurance, financial markets, and procurement. Your role involves developing and optimizing
 
 machine learning and generative AI models
 
 to solve real-world challenges.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Develop and optimize
 
 ML, NLP, Deep Learning, and Generative AI
 
 models.
 
 
 &bull; Research and implement
 
 state-of-the-art algorithms
 
 for supervised and unsupervised learning.
 
 
 &bull; Work with
 
 large-scale datasets
 
 in distributed environments.
 
 
 &bull; Understand business processes to select and apply the best ML approaches.
 
 
 &bull; Ensure
 
 scalability and performance
 
 of ML solutions.
 
 
 &bull; Collaborate with cross-functional teams, including product owners, designers, and developers.
 
 
 &bull; Solve complex
 
 data integration
 
 and deployment challenges.
 
 
 &bull; Communicate results effectively using data visualization.
 
 
 &bull; Work in
 
 global teams
 
 across different time zones.
 
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 
 &bull; Strong experience in
 
 Machine Learning, Deep Learning, NLP, and Generative AI
 
 .
 
 
 &bull; Hands-on expertise in frameworks like
 
 TensorFlow, PyTorch, or Hugging Face Transformers
 
 .
 
 
 &bull; Experience with
 
 LLMs (Large Language Models), model fine-tuning, and prompt engineering
 
 .
 
 
 &bull; Proficiency in
 
 Python, R, or Scala
 
 for ML development.
 
 
 &bull; Knowledge of
 
 cloud-based ML platforms
 
 (AWS, Azure, GCP).
 
 
 &bull; Experience with
 
 big data processing
 
 (Spark, Hadoop, or Dask).
 
 
 &bull; Ability to scale ML models from
 
 prototypes to production
 
 .
 
 
 &bull; Strong analytical and problem-solving skills.
 
 
 
 
 
 If you&rsquo;re passionate about pushing the boundaries of
 
 ML and GenAI
 
 , we&rsquo;d love to hear from you!
 
</div>

Lead Data Scientist-Gen AI

Novartis India

<div>
 
 Summary
 
 
 
 We are seeking a talented and motivated Data Scientist to join our dynamic team. The ideal candidate will possess strong technical skills in machine learning, natural language processing (NLP), generative AI, graph neural networks, and topic modeling. You will also be adept at designing experiments to validate hypotheses and drive decision-making.
 
 
 
 About The Role
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and deploy scalable machine learning models to address business challenges.
 </li>
 <li>
 Utilize NLP techniques to extract insights from unstructured text data.
 </li>
 <li>
 Implement graph neural networks to analyze relational data and uncover complex patterns.
 </li>
 <li>
 Conduct topic modeling to distill key themes from large datasets.
 </li>
 <li>
 Design, implement, and analyze experiments to inform data-driven decisions.
 </li>
 <li>
 Collaborate with cross-functional teams to identify, define, and solve challenging problems.
 </li>
 <li>
 Communicate findings and recommendations to stakeholders in a clear and concise manner.
 </li>
 <li>
 Continuously stay updated with the latest advancements in data science, machine learning, and related fields.
 
 
 </li>
 </ul>
 
 Required Qualifications And Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 Proven experience in machine learning, NLP, and generative AI.
 </li>
 <li>
 Proficiency in graph neural networks and topic modeling.
 </li>
 <li>
 Skills in deep learning architecture and training neural networks
 </li>
 <li>
 Strong programming skills in Python, R, or a similar language.
 </li>
 <li>
 Excellent analytical, problem-solving, and critical-thinking skills.
 </li>
 <li>
 Ability to communicate complex technical concepts to non-technical audiences.
 
 
 </li>
 </ul>
 
 Preferred Qualifications And Skills
 
 
 
 <ul>
 <li>
 Master's or Ph.D. in a relevant field
 </li>
 <li>
 Bachelor&rsquo;s from reputed college with keen desire to learn
 </li>
 <li>
 Experience in the design of experiments and statistical analysis.
 </li>
 <li>
 Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure).
 </li>
 <li>
 Strong project management and organizational skills.
 
 
 </li>
 </ul>
 
 Languages
 
 
 
 <ul>
 <li>
 English.
 
 
 </li>
 </ul>
 
 Why Novartis:
 
 Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
 
 
 
 Join our Novartis Network:
 
 Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
 
 
 
 Benefits and Rewards:
 
 Read our handbook to learn about all the ways we&rsquo;ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
</div>

EchorTech

<div>
 
 
 Hiring: Software Engineer &ndash; Hyderabad (On-site)
 
 
 
 
 
 
 EchorTech is a technology company delivering secure, scalable, and performance-driven digital
 
 
 solutions across healthcare, fintech, AI, blockchain, and IoT. Our team has built HIPAA-compliant
 
 
 healthcare platforms, real-time trading systems, AI-driven chatbots, and enterprise-grade software that
 
 
 has delivered measurable impact to clients.
 
 
 
 
 
 We are looking for Software Engineer (0&ndash;2 years experience) who want to work on real,
 
 
 user-facing products from day one. This role is suited for individuals with strong fundamentals, a
 
 
 learning mindset, and the ability to contribute in a modern engineering environment.
 
 
 
 
 
 
 Position Details
 
 
 
 &bull; Role: Junior Full-Stack Developer / Software Engineer
 
 
 &bull; Experience: 0&ndash;2 years
 
 
 &bull; Location: Hyderabad (On-site)
 
 
 
 
 
 
 Must-Have Skills
 
 
 
 &bull; Strong problem-solving abilities and understanding of Data Structures &amp; Algorithms (DSA)
 
 
 &bull; Proficiency in JavaScript or TypeScript
 
 
 &bull; Working knowledge of Python (data handling, scripting, backend logic)
 
 
 &bull; Hands-on experience with React.js (or Angular / Vue)
 
 
 &bull; Backend experience with Node.js (preferred), Python, or Java
 
 
 &bull; Understanding of REST APIs, JSON, and Postman
 
 
 &bull; Basic Git and GitHub usage
 
 
 &bull; Familiarity with SQL or NoSQL databases
 
 
 &bull; Degree in CS/IT or equivalent practical knowledge
 
 
 
 
 
 
 Good-to-Have Skills (Not mandatory, but beneficial)
 
 
 
 &bull; 1&ndash;2 full-stack personal or academic projects
 
 
 &bull; Exposure to Next.js, Tailwind, Redux, or Zustand
 
 
 &bull; Basic understanding of Machine Learning / Deep Learning concepts&bull; Experience with ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
 
 
 &bull; Cloud fundamentals (AWS, Azure, or GCP)
 
 
 &bull; Basic testing knowledge (Jest, RTL, PyTest)
 
 
 &bull; Contribution to hackathons or open-source projects
 
 
 &bull; Understanding of CI/CD pipelines
 
 
 
 
 
 
 What We Offer
 
 
 
 &bull; Exposure to real-world production systems
 
 
 &bull; Opportunity to work closely with senior engineers and solution architects
 
 
 &bull; Mentorship and continuous learning
 
 
 &bull; Experience across full-stack development, cloud, and AI-driven workflows
 
 
 &bull; A disciplined, fast-paced engineering environment
 
</div>

Software Engineer

NStarX

<div>
 As a Data Scientist at NStarX, you will play a key role in analysing large datasets, developing predictive models, and providing actionable insights that drive business decisions. You will collaborate with cross-functional teams to identify trends, build data-driven strategies, and contribute to the continuous improvement of our data processes.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, process, and analyse large datasets to identify trends, patterns, and insights that inform business strategies.
 </li>
 <li>
 Develop and deploy predictive models using statistical, machine learning, and deep learning techniques.
 </li>
 <li>
 Work closely with stakeholders to understand their data needs and translate business requirements into analytical solutions.
 </li>
 <li>
 Build and maintain data pipelines to ensure data quality and accessibility for analysis.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to uncover key insights and guide decision-making.
 </li>
 <li>
 Present findings and recommendations to both technical and non-technical audiences through reports, dashboards, and presentations.
 </li>
 <li>
 Collaborate with data engineers and software developers to integrate analytical solutions into production systems.
 </li>
 <li>
 Stay current with the latest developments in data science and machine learning and apply new techniques as appropriate.
 </li>
 <li>
 Contribute to the development and implementation of best practices for data analysis, modelling, and reporting.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
 </li>
 <li>
 At least 3 years of professional experience in data science or a related role.
 </li>
 <li>
 Proficiency in programming languages such as Python or R.
 </li>
 <li>
 Strong knowledge of statistical analysis, machine learning algorithms, and data visualisation tools.
 </li>
 <li>
 Experience with data manipulation and analysis using libraries such as Pandas, NumPy, and Scikit-learn.
 </li>
 <li>
 Familiarity with data visualisation tools such as Tableau, Power BI, or Matplotlib.
 </li>
 <li>
 Experience with SQL and NoSQL databases for data extraction and manipulation.
 </li>
 <li>
 Understanding of cloud platforms like AWS, Azure, or Google Cloud is a plus.
 </li>
 <li>
 Strong problem-solving skills and the ability to work independently and in a team.
 </li>
 <li>
 Excellent communication skills, with the ability to convey complex technical concepts to a non-technical audience.
 </li>
 <li>
 Detail-oriented with a focus on delivering high-quality, accurate work.
 </li>
 <li>
 Experience with big data technologies such as Hadoop, Spark, or Kafka.
 </li>
 <li>
 Knowledge of deep learning frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Experience with A/B testing and experimental design.
 </li>
 <li>
 Familiarity with version control systems such as Git.
 
 
 </li>
 </ul>
 This job was posted by Younus Shaik from NStarX.
</div>

Teradata

<div>
 
 Our company:
 
 
 
 At Teradata, we believe that people thrive when empowered with better information. That&rsquo;s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions. The world&rsquo;s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
 
 
 
 What you will do:
 
 
 
 Highly motivated Software Engineer with a solid background in software development. The ideal candidate should be adept at multi-tasking across various development activities, including Research, coding and unit testing, code reviews, analysis, debugging, bug fixing, and system configuration.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Development of new features in the complex area of the Teradata Database.
 </li>
 <li>
 Understand the existing features and code which needs strong &lsquo;C/C++&rsquo; skills and data structures.
 </li>
 <li>
 Candidate shall also be involved in fixing bugs in the Teradata Database code initially to gain an understanding of the different areas.
 </li>
 <li>
 Communicate effectively across teams to ensure alignment and clarity throughout the development process.
 
 
 </li>
 </ul>
 
 Who you will work with:
 
 
 
 <ul>
 <li>
 Our Database team will have a dedicated focus on enhancing our market-leading database by developing core database features with stronger cloud-native capabilities.
 </li>
 <li>
 On our team we collaborate with several cross-functional agile teams that include Architects, Product Owners, Software Engineers and other engineering groups to conceptualize, build, test and ship database features.
 </li>
 <li>
 You will report directly to the Manager of the database team.
 
 
 </li>
 </ul>
 
 What makes you a qualified candidate:
 
 
 
 <ul>
 <li>
 2+ years of relevant experience, preferably in R&amp;D based teams
 </li>
 <li>
 Strong C/C++ programming skills
 </li>
 <li>
 Deep understanding of data structures coupled with ability to write algorithms
 </li>
 <li>
 Excellent problem solving and strong debugging skills
 </li>
 <li>
 Exposure to RDBMS and ability to understand complex database features
 </li>
 <li>
 Experience with code versioning tools and defect tracking tools such as Git and Jira.
 </li>
 <li>
 Experience in working in UNIX / Linux environments
 </li>
 <li>
 A passion for innovation and continuous learning, with the ability to quickly adapt to new technologies.
 </li>
 <li>
 Strong oral and written communication skills, with the ability to produce technical documents
 
 
 </li>
 </ul>
 
 What you will bring:
 
 
 
 <ul>
 <li>
 B Tech / M Tech / MCA in Computer Science with 2+ years of development experience in C/C++.
 </li>
 <li>
 Familiarity with AWS/Azure/GCP or any other public cloud environments.
 </li>
 <li>
 Knowledge of professional software engineering practices &amp; best practices in software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
 
 
 
 
 </li>
 </ul>
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

<div>
 
 
 
 Data Science - JD
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Work with data from multiple internal/external data sources and APIs including Hadoop clusters
 </li>
 <li>
 Work with structured as well as unstructured data
 </li>
 <li>
 Data wrangling for cleanup, handle missing data, standardize/scale data
 </li>
 <li>
 Explore and analyze data using visualizations to uncover hidden patterns
 </li>
 <li>
 Use ML techniques including linear/logistic regression, decision trees, classification, clustering, ensembles, text mining, social networking analysis to build models
 </li>
 <li>
 Use these models to identify patterns and rules which help unearth business insights and aid in decision making
 </li>
 </ul>
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 
 <ul>
 <li>
 Bachelor, Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field
 </li>
 <li>
 3+ years of hands-on experience with NLP, recommendation systems, or generative AI
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 
 
 
 <ul>
 <li>
 
 Programming
 
 : Expert-level Python; proficiency in SQL, or Scala
 </li>
 <li>
 
 ML Frameworks
 
 : PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers
 </li>
 <li>
 
 NLP Libraries
 
 : spaCy, NLTK, Gensim, transformers
 </li>
 <li>
 
 Big Data
 
 : Spark, Hadoop, or similar distributed computing frameworks
 </li>
 <li>
 
 Cloud Platforms
 
 : AWS/GCP/Azure ML services and infrastructure
 </li>
 <li>
 
 MLOps
 
 : Experience with model deployment, monitoring, and CI/CD pipelines
 </li>
 </ul>
 
 
 Databases
 
 : SQL and NoSQL databases, vector databases (Opensearch )
 
 
 
 
 <ul>
 <li>
 Deep understanding of transformer architectures and attention mechanisms
 </li>
 <li>
 Experience with recommendation system architectures (matrix factorization, deep learning approaches)
 </li>
 <li>
 Knowledge of information retrieval and search relevance
 </li>
 <li>
 Familiarity with A/B testing and statistical significance testing
 </li>
 <li>
 Understanding of ML interpretability and fairness considerations
 </li>
 </ul>
 
 
</div>

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99 deep learning engineer jobs IN Hyderabad

Data Scientist

Lead Data Scientist-Gen AI

Data Scientist

Software Engineer

Data Scientist

Software Engineer

Data Scientist