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software development engineer Jobs in Chennai

software development engineer

machine learning engineer

Staples India

<div>
 
 Role Summary
 
 
 
 The Lead Data Engineer will strategically work in the data science team in applying advanced analytics, machine learning, LLMs and cutting-edge technologies to propose, perform and evaluate exploratory data analysis and predictive modelling to address critical ecommerce challenges. A creative and flexible approach to problem-finding should be combined with a strategical approach to maintaining the highest standards of data-driven decision-making with faithful application of development best practices.
 
 
 
 Duties &amp; Responsibilities
 
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 Develop and deploy sophisticated machine learning and deep learning models to solve critical business challenges such as predict customer patterns, recommendation systems, demand forecasting, and predictive analytics.
 
 
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 Leverage advanced techniques to extract insights, automate customer interactions, and enhance user experience across e-commerce platforms.
 
 
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 Conduct thorough testing and validation of models, employing techniques such as cross-validation, A/B testing, and performance benchmarking to ensure models deliver accurate, reliable, and consistent results.
 
 
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 Implement dynamic pricing strategies powered by reinforcement learning, Bayesian optimization, and price elasticity modeling, integrating real-time market intelligence and competitive data to optimize profitability and market share.
 
 
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 Work closely with cross-functional teams to identify impactful business problems, and operationalize models using scalable deployment frameworks
 
 
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 Stay informed of emerging trends and advancements in data science, machine learning operations, and AI ethics, continuously integrating new tools and techniques into the team's workflow.
 
 
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 Ability to drive teams to success; ability to drive change and influence peers, leaders, collaborators, and individual contributors. Experience leading end-to-end data science project implementations working with Agile methodologies.
 
 
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 What you Bring to the Table:
 
 
 
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 Design, develop and implement business and technical features.
 
 
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 Work with Architects to ensure the system is implemented as designed and in adherence with development guidelines and security standards.
 
 
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 Partner with business, Product teams and other domain architects to translate business requirements and vision into core eCommerce functions.
 
 
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 Create and evolve application documentation as required.
 
 
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 Ensure that technical solutions follow best practices, are reliable and are easily maintainable
 
 
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 Years of Experience
 
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 Minimum of 6 years of experience with complex data science, applied statistics, machine learning, or mathematical modeling projects
 
 
 
 
 
 Requirements
 
 
 
 Basic Qualifications:
 
 
 
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 Bachelor&rsquo;s degree in in Analytics, Data Science, Statistics, Mathematics, Computer Science or a related field. Alternately equivalent experience in data analysis and predictive modeling will be considered in lieu of relevant degree.
 
 
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 6+ years of experience with complex data science, applied statistics, machine learning, or mathematical modeling projects.
 
 
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 Hands on experience with deep learning frameworks, LLMs, GenAI tools, and applying NLP techniques.
 
 
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 Expertise using tools like TensorFlow, PyTorch, LightGBM, XGBoost as well as general purpose programming languages such as GPT-4, BERT is preferred.
 
 
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 Strong understanding of data and coding skills with SQL and Python.
 
 
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 Excellent analytical abilities and a strong intellectual curiosity
 
 
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 Experience with cloud platforms (e.g., Azure, AWS, GCP)
 
 
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 Proficient understanding of code versioning tools, such as Git / SVN
 
 
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 Preferred Qualifications:
 
 
 
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 Master&rsquo;s degree in computer science, Engineering, or a related field.
 
 
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 Experience working in retail domains and developing e-commerce solutions.
 
 
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 Familiarity with Agile methodologies and ability to thrive in fast-paced, collaborative environments.
 
 
 
 
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</div>

Data Scientist

<div>
 
 Before you apply to a job, select your language preference from the options available at the top right of this page.
 
 
 
 Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow&mdash;people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
 
 
 
 Job Description
 
 
 
 
 DATA SCIENTIST
 
 
 
 
 Job Summary
 
 
 
 This
 
 Data Scientist
 
 creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
 
 
 
 Responsibilities
 
 
 
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 Defines key data sources from UPS and external sources to deliver models.
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 Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
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 For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
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 Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
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 Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
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 Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
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 Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
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 Presents operationalized analytic findings and provides recommendations.
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 Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
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 Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
 
 
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 Qualifications
 
 
 
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 Expertise in R, SQL, Python and/or any other high-level languages.
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 Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
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 Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
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 Experience applying models from small to medium scaled problems.
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 Strong analytical skills and attention to detail.
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 Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
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 Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
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 Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
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 Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
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 Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
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 Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
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 Familiarity with Java or C++ is a plus.
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 Solid oral and written communication skills, especially around analytical concepts and methods.
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 Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
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 Master&rsquo;s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
 
 
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 Last Day Posted - 2/25/2024
 
 
 
 
 Employee Type
 
 
 
 Permanent
 
 
 UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
</div>

Tata Elxsi

<div>
 
 
 Purpose of the role:
 
 
 
 As a Data Scientist, the person will be responsible for bringing a combination of mathematical rigor and innovative algorithm design to create recipes that extract relevant insights from billions of rows of data to meaningfully improve user experience.
 
 
 
 
 
 
 KEY RESPONSIBILITIES:
 
 
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 Collect, clean, and preprocess structured and unstructured data from various sources.
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 Develop and implement machine learning models and statistical algorithms.
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 Perform exploratory data analysis to identify trends, patterns, and anomalies.
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 Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
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 Visualize data insights using tools like Tableau, Power BI, or matplotlib/seaborn.
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 Communicate findings clearly to stakeholders through reports and presentations.
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 Continuously improve data processes and model performance.
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 Experience:
 
 
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 Graduate degree or Phd in the following areas: Statistics, Data Science, Computer Science or relevant science or engineering discipline.
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 Machine learning, data science skills with strong programming background in python.
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 5+ years of experience with common data science toolkits, such as scikit-learn, R, etc. Excellence in at least one of these is highly desirable.
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 Great communication skills.
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 Good Analytical skills
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 Data-oriented personality
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 Skills &amp; Competencies:
 
 
 
 
 Must Have:
 
 
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 Python
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 scikit-learn, TensorFlow, or PyTorch.
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 Spark, Hadoop, Kafka,
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 AWS/ Azure/ Google Cloud
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 Good to Have
 
 
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 Spark (AWS EMR, Databricks), AWS Lambda
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 Spark Streaming and Batch
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 Avro, Parquet
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 Stream Data Platforms: AWS Kinesis
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 MySQL, Cassandra, HBase, MongoDB, RDBMS
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 Caching Frameworks(ElasticCache/Redis)
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 Elasticsearch, Beats, Logstash, Kibana
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 Java, Scala, Go, R
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 Git, Maven, Gradle, Jenkins
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 Rancher, Puppet, Concourse, Docker, Ansible, Kubernetes
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 Linux
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 Presto, Athena
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 Keras, Pandas)
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 Visualization suite (AWS Quicksight, Grafana)
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</div>

NielsenIQ

<div>
 
 
 Company Description
 
 
 
 
 NielsenIQ is a consumer intelligence company that delivers the Full View&trade;, the world&rsquo;s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. Our diversity brings out the best in each other so we can leave a lasting legacy on the work that we do and the people that we do it with.
 
 
 NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects
 
 
 
 
 Job Description
 
 
 
 
 We are looking for a Research Scientist with a data-centric mindset to join our applied research and innovation team. The ideal candidate will have a strong background in machine learning, deep learning, operationalization of AI/ML and process automation.
 
 
 You will be responsible for analyzing data, researching the most appropriate techniques, and the development, testing, support and delivery of proof of concepts to resolve real-world and large-scale challenging problems.
 
 
 
 
 Job Responsibilities
 
 
 
 
 Develop and apply machine learning innovations with minimal technical supervision. Understand the requirements from stakeholders and be able to communicate results and conclusions in a way that is accurate, clear and winsome.
 
 
 Perform feasibility studies and analyse data to determine the most appropriate solution. Work on many different data challenges, always ensuring a combination of simplicity, scalability, reproducibility and maintainability within the ML solutions and source code.
 
 
 Both data and software must be developed and maintained with high-quality standards and minimal defects. Collaborate with other technical fellows on the integration and deployment of ML solutions. To work as a member of a team, encouraging team building, motivation and cultivating effective team relations.
 
 
 
 
 Qualifications
 
 
 
 
 
 Essential Requirements
 
 
 
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 Bachelor's degree in Computer Science or an equivalent numerate discipline
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 Demonstrated senior experience in Machine Learning, Deep Learning &amp; other AI fields
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 Experience working with large datasets, production-grade code &amp; operationalization of ML solutions
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 EDA analysis &amp; practical hands-on experience with datasets, ML models (Pytorch or Tensorflow) &amp; evaluations
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 Able to understand scientific papers &amp; develop the idea into executable code
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 Analytical mindset, problem solving &amp; logical thinking capabilities
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 Proactive attitude, constructive, intellectual curiosity &amp; persistence to find answers to questions
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 A high level of interpersonal &amp; communication skills in English &amp; strong ability to meet deadlines
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 Python, Pytorch, Git, pandas, dask, polars, sklearn, huggingface, docker, databricks
 
 
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 Desired Skills
 
 
 
 
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 Masters degree &amp;/or specialization courses in AI/ML. PhD in science is an added value
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 Experience in MLOPs (MLFlow, Prefect) &amp; deployment of AI/ML solutions to the cloud (Azure preferred)
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 Understanding &amp; practice of LLMs &amp; Generative AI (prompt engineering, RAG)
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 Experience with Robotic Process Automation, Time Series Forecasting &amp; Predictive modeling
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 A practical grasp of databases (SQL, ElasticSearch, Pinecone, Faiss)
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 Previous experience in retail, consumer, ecommerce, business, FMCG products (NielsenIQ portfolio)
 
 
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 </ul>
 
 
 Additional Information
 
 
 
 
 With @NielsenIQ, we&rsquo;re now an even more diverse team of 40,000 people &ndash; each with their own stories
 
 
 Our increasingly diverse workforce empowers us to better reflect the diversity of the markets we measure.
 
 
 
 
 Our Benefits
 
 
 
 
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 Flexible working environment
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 Volunteer time off
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 LinkedIn Learning
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 Employee-Assistance-Program (EAP)
 
 
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 </ul>
 
 
 Our Benefits
 
 
 
 
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 Flexible working environment
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 Volunteer time off
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 LinkedIn Learning
 </li>
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 Employee-Assistance-Program (EAP)
 
 
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 </ul>
 
 
 About NIQ
 
 
 
 
 NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.
 
 
 For more information, visit NIQ.com
 
 
 Want to keep up with our latest updates?
 
 
 Follow us on: LinkedIn | Instagram | Twitter | Facebook
 
 
 
 Our commitment to Diversity, Equity, and Inclusion
 
 
 
 At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion
 
 
</div>

Research Scientist

Infosys Finacle

<div>
 
 
 Role Designation:
 
 Senior Analyst - Data Science
 
 
 
 Job Location:
 
 Chennai
 
 
 
 
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 Minimum 4+years of Experience required.
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 Excellent analytical and problem-solving skills .
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 Experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
 </li>
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 Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
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 Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks.
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 Should be able to host the models and make them API convertible.
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 Good communication and presentation skills to explain your work to people who don't understand the mechanics behind data analysis.
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 Working on Cutting Edge AI solutions in partnership with best of business in the industry. Propose innovate solutions and adopt quickly to dynamic learning environment.
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 Build AI algorithms and design experiments to merge, manage, interrogate, and extract data to supply tailored reports to colleagues, customers, or the wider organization .
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 Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Bring about Explainable and Responsible AI.
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 Conduct research from which you'll develop prototypes and proof of concepts Look for opportunities to use insights/datasets/code/models across other functions in the organization
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 Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.
 </li>
 </ul>
</div>

Mindsprint

<div>
 
 We are seeking an experienced
 
 Senior Data Science Engineer
 
 with 3+ years' experience
 
 
 to join our innovative team. As a Machine Learning and Generative AI Specialist, you will play a critical role in developing and deploying advanced ML models and algorithms to drive data-driven decision-making processes.
 
 
 
 
 
 Here are the key responsibilities and desired skills:
 
 
 
 
 
 
 1. Algorithm Development:
 
 
 
 o Design and implement machine learning algorithms for various applications, including natural language processing (NLP), recommendation systems, and predictive analytics.
 
 
 o Leverage your expertise in deep learning and generative AI to create innovative solutions.
 
 
 
 
 
 
 2. Data Processing and Analysis:
 
 
 
 o Collect, preprocess, and analyze large-scale datasets.
 
 
 o Apply statistical techniques and feature engineering to extract meaningful insights from data.
 
 
 
 
 
 
 3. Model Training and Evaluation:
 
 
 
 o Train and fine-tune ML models using Python and relevant libraries (e.g., TensorFlow, PyTorch).
 
 
 o Evaluate model performance using appropriate metrics and iterate to improve accuracy and efficiency.
 
 
 
 
 
 
 4. Deployment and Monitoring:
 
 
 
 o Deploy ML models to production environments (e.g., cloud platforms such as Azure, AWS, or GCP).
 
 
 o Monitor model performance, troubleshoot issues, and ensure robustness and reliability.
 
 
 
 
 
 
 5. Collaboration and Communication:
 
 
 
 o Collaborate with cross-functional teams, including data scientists, engineers, and product managers.
 
 
 o Communicate results and insights effectively to technical and non-technical stakeholders.
 
 
 
 
 
 
 Desired Skills:
 
 
 
 &bull; Machine Learning: Strong knowledge of
 
 ML algorithms,
 
 including supervised and unsupervised learning.
 
 
 &bull;
 
 Generative AI:
 
 Experience with generative models (e.g., GANs, VAEs) and their applications.
 
 
 &bull;
 
 Python:
 
 Proficiency in Python for data analysis, model development, and scripting.
 
 
 &bull;
 
 Cloud Platforms:
 
 Hands-on experience with Azure, AWS, or GCP for model deployment and scalability.
 
 
 &bull;
 
 Natural Language Processing (NLP)
 
 : Understanding of NLP techniques, sentiment analysis, and text generation.
 
 
 
</div>

Cognizant

<div>
 
 Job Summary
 
 
 
 Join our dynamic team as a Software Engineer where you will leverage your expertise in cloud technologies and modern web frameworks to develop innovative solutions. With a focus on GCP React Angular and Springboot Microservices you will contribute to cutting-edge projects that drive our companys success. This hybrid role offers a collaborative environment and the opportunity to make a significant impact.
 
 
 
 Responsibilities
 
 
 
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 <li>
 Develop and maintain scalable applications using Java React and Angular to meet business requirements and enhance user experience.
 </li>
 <li>
 Collaborate with cross-functional teams to design and implement cloud-based solutions on GCP ensuring high availability and performance.
 </li>
 <li>
 Utilize Springboot Microservices to build robust and efficient backend services that support seamless integration with frontend applications.
 </li>
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 Conduct code reviews and provide constructive feedback to ensure adherence to best practices and maintain code quality.
 </li>
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 Troubleshoot and resolve technical issues ensuring timely delivery of solutions and minimizing downtime.
 </li>
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 Participate in agile development processes contributing to sprint planning daily stand-ups and retrospectives to improve team productivity.
 </li>
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 Stay updated with the latest industry trends and technologies applying new knowledge to enhance project outcomes and drive innovation.
 </li>
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 Document technical specifications and system designs to facilitate knowledge sharing and future maintenance.
 </li>
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 Engage in continuous learning and professional development to expand skill sets and contribute to team growth.
 </li>
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 Collaborate with stakeholders to gather requirements and translate them into technical specifications for development.
 </li>
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 Ensure compliance with security standards and data protection regulations in all software development activities.
 </li>
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 Provide technical support and guidance to junior team members fostering a culture of learning and collaboration.
 </li>
 <li>
 Optimize application performance and scalability through effective use of cloud resources and best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
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 Possess a strong understanding of cloud basics and experience with GCP to design and deploy cloud-native applications.
 </li>
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 Demonstrate proficiency in Java React and Angular for developing responsive and interactive web applications.
 </li>
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 Have hands-on experience with Springboot Microservices to build modular and maintainable backend systems.
 </li>
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 Exhibit problem-solving skills and the ability to troubleshoot complex technical issues effectively.
 </li>
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 Show familiarity with agile methodologies and experience working in a collaborative team environment.
 </li>
 <li>
 Display excellent communication skills to interact with team members and stakeholders effectively.
 </li>
 <li>
 Nice to have experience in program management to contribute to project planning and execution.
 </li>
 </ul>
</div>

Software Engineer

Explore 42+ Machine learning engineer in Chennai this December. Find roles across top companies and apply now to boost your career.

42 machine learning engineer jobs IN Chennai

Data Scientist

Data Scientist

Data Scientist

Research Scientist

Data Scientist

Data Scientist

Software Engineer