software engineer

software engineer 2

engineer- java

linguistic engineering manager Jobs in Hyderabad

linguistic engineering manager

nlp engineer

<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>

Data Scientist

SWITS DIGITAL Private Limited

<div>
 
 Job Title: Junior Data Scientist
 
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Experience:
 
 8+ Years
 
 
 
 Position Overview
 
 
 
 We are seeking a highly experienced
 
 Senior Data Scientist
 
 with a strong academic background and extensive hands-on experience in Data Science and Machine Learning projects. The ideal candidate will be proficient in building predictive models, advanced analytics, and deploying ML/AI solutions to solve complex business challenges.
 
 
 
 Roles And Responsibilities
 
 
 
 <ul>
 <li>
 Analyze large and complex datasets to extract actionable insights and trends.
 </li>
 <li>
 Develop, implement, and optimize ML/AI models for predictive and prescriptive analytics.
 </li>
 <li>
 Collaborate with engineering, product, and business stakeholders to deliver data-driven solutions.
 </li>
 <li>
 Design, build, and maintain scalable data pipelines using Python, R, SQL, or related tools.
 </li>
 <li>
 Communicate insights through compelling visualizations and data storytelling.
 </li>
 <li>
 Evaluate, test, and improve model performance, accuracy, and efficiency.
 </li>
 <li>
 Work with cloud platforms (AWS, Azure, GCP) to deploy ML/AI models into production environments.
 </li>
 <li>
 Ensure best practices in data quality, governance, and compliance standards.
 
 
 </li>
 </ul>
 
 Must-Have Skills
 
 
 
 <ul>
 <li>
 8+ years of experience in Data Science, Machine Learning, or AI-driven projects.
 </li>
 <li>
 Strong proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) or R.
 </li>
 <li>
 Deep understanding of ML algorithms, statistical modeling, and data mining techniques.
 </li>
 <li>
 Expertise in data visualization tools: Power BI, Tableau, Matplotlib, or Seaborn.
 </li>
 <li>
 Strong SQL skills and experience with data pipelines (Airflow, Spark, etc.).
 </li>
 <li>
 Hands-on experience with cloud ML platforms: AWS SageMaker, Azure ML, or Google AI Platform.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 
 
 </li>
 </ul>
 
 Good to Have
 
 
 
 <ul>
 <li>
 Experience with Deep Learning, NLP, or Time Series Analysis.
 </li>
 <li>
 Exposure to MLOps and CI/CD pipelines for model deployment.
 </li>
 <li>
 Relevant certifications or a strong portfolio in ML/Data Science.
 </li>
 <li>
 Experience in prompt engineering, RAG/context engineering, and Agentic AI systems.
 
 
 </li>
 </ul>
 
 Qualification
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s, Master&rsquo;s, or PhD in Data Science, Computer Science, Statistics, or related discipline
 </li>
 </ul>
</div>

Junior Data Scientist

upGrad

<div>
 
 Learn more: www.upgrad.com/offline-centres
 
 
 
 About the Role
 
 
 
 As an Instructor at our Offline Learning Centres, you will deliver engaging sessions in Data Science,
 
 
 Machine Learning, Deep Learning, and related fields to students and working professionals. You will
 
 
 play a vital role in ensuring high-quality learning outcomes through classroom teaching, mentorship,
 
 
 and academic support. This is a unique opportunity to combine your passion for technology and
 
 
 education, while shaping the careers of tomorrow.
 
 
 
 6 Reasons to Join upGrad Offline Learning Centres
 
 
 
 1.
 
 Career Growth &amp; SME Pathway:
 
 Accelerate your career with opportunities to move into
 
 
 leadership roles and grow as a Subject Matter Expert by contributing to content
 
 
 development, curriculum design and new program launches.
 
 
 2.
 
 Continuous Upskilling:
 
 Access 100% free upGrad programs for yourself and a 50% discount
 
 
 for your family.
 
 
 3.
 
 Comprehensive Health &amp; Wellbeing:
 
 Benefit from INR 5L medical insurance for yourself
 
 
 and your family, plus a 24x7 mental health helpline for all-round support.
 
 
 4.
 
 Attractive Incentives
 
 : Earn additional incentives for successful student referrals from your
 
 
 batches, giving you direct rewards for expanding the learner community.
 
 
 5.
 
 Employee Referral Bonus:
 
 Receive INR 15,000 for every successful employee referral &ndash;
 
 
 bring great talent to upGrad and get rewarded.
 
 
 6.
 
 Impact &amp; Exposure:
 
 Opportunity to work with industry leaders, design cutting-edge content,
 
 
 and directly impact learner success.
 
 
 
 Key Responsibilities
 
 
 
 &bull; Deliver in-person lectures and training sessions in Data Science, Machine Learning, Deep
 
 
 Learning and related domains.
 
 
 &bull; Guide learners through concepts, case studies, and projects to ensure strong understanding
 
 
 and application.
 
 
 &bull; Collaborate with Centre Managers and academic teams to monitor learner progress and
 
 
 outcomes.
 
 
 &bull; Support students with doubt-solving, mentorship, and building career-ready skills.
 
 
 &bull; Continuously update knowledge and content to stay current with industry trends and tools.
 
 
 
 Skills &amp; Experience
 
 
 
 &bull; Minimum 2+ years of teaching/training experience in Data Science, Machine Learning, or
 
 
 related fields.
 
 
 &bull; Strong programming skills in Python and understanding of SQL, Excel.
 
 
 &bull; Solid grasp of ML/DL concepts such as Regression, Decision Trees, Random Forests,
 
 
 Ensemble methods, Neural Networks, NLP, Recommendation Systems, etc.
 
 
 &bull; Strong communication, presentation, and mentoring skills.
 
 
 &bull; Comfortable with both classroom delivery and online teaching (camera-facing).
 
 
 &bull;
 
 Education:
 
 BE/ B.Tech (minimum); Postgraduate preferred.
 
</div>

Instructor - upGrad Offline Learning Centre

Varun Digital Media

<div>
 
 
 Job Title: SEO + Content Writer
 
 ,
 
 
 
 Location:
 
 Begumpet,
 
 
 Hyderabad.
 
 
 
 Employment Type:
 
 Full Time,
 
 
 
 Experience Level:
 
 Min 5+ yrs.
 
 
 
 
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are looking for a talented
 
 SEO + Content Writer
 
 with expertise in
 
 Advanced SEO
 
 techniques (AEO, VSO, PAA) and a passion for creating high-quality content for B2B and B2C audiences. The ideal candidate will be responsible for developing SEO-optimized, engaging, and informative content that enhances online visibility, aligns with search intent, and drives traffic and conversions.
 
 
 You will work closely with SEO, marketing, and web development teams to create compelling web pages, blog posts, landing pages, AI-friendly content, and voice search-friendly articles. This role demands both technical SEO skills and strong writing abilities to produce content that not only ranks but also captivates and converts readers.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 SEO Strategy &amp; Implementation:
 
 
 <ul>
 <li>
 Develop and execute comprehensive
 
 SEO strategies
 
 for
 
 B2B and B2C
 
 brands to drive organic traffic and improve rankings.
 </li>
 <li>
 Conduct
 
 keyword research
 
 ,
 
 competitor analysis
 
 , and
 
 SERP intent analysis
 
 to optimize content for target audiences.
 </li>
 <li>
 Implement
 
 advanced SEO techniques
 
 like
 
 schema markup
 
 ,
 
 structured data
 
 , and
 
 featured snippets
 
 to increase visibility in search engines.
 </li>
 <li>
 Optimize content for
 
 AEO
 
 (Answer Engine Optimization),
 
 VSO
 
 (Voice Search Optimization), and
 
 PAA
 
 (People Also Ask) to target specific search queries.
 </li>
 </ul>
 
 
 Content Writing &amp; Creation:
 
 
 <ul>
 <li>
 Write
 
 SEO-optimized content
 
 for blogs, landing pages, service/product pages, eBooks, case studies, and more, tailored for B2B and B2C audiences.
 </li>
 <li>
 Ensure all written content aligns with
 
 Google&rsquo;s E-E-A-T
 
 (Expertise, Authoritativeness, and Trustworthiness) principles.
 </li>
 <li>
 Write
 
 answer-based content
 
 optimized for
 
 featured snippets
 
 ,
 
 FAQs
 
 , and
 
 PAA
 
 sections to increase the chances of appearing in zero-click searches.
 </li>
 <li>
 Create
 
 conversational, voice-search optimized
 
 content designed for platforms like
 
 Google Assistant
 
 ,
 
 Siri
 
 , and
 
 Alexa
 
 .
 </li>
 <li>
 Collaborate with other content creators and developers to create
 
 content that drives conversions
 
 , is user-friendly, and aligns with business goals.
 </li>
 </ul>
 
 
 On-Page SEO &amp; Content Optimization:
 
 
 <ul>
 <li>
 Optimize
 
 landing pages
 
 ,
 
 product pages
 
 , and
 
 service pages
 
 for SEO, UX, and
 
 CRO (Conversion Rate Optimization)
 
 .
 </li>
 <li>
 Incorporate
 
 keywords
 
 ,
 
 LSI keywords
 
 ,
 
 NLP-friendly phrasing
 
 , and
 
 schema markup
 
 into content to enhance search engine visibility.
 </li>
 <li>
 Regularly update and optimize existing content to improve
 
 rankings
 
 and
 
 engagement
 
 .
 </li>
 <li>
 Perform
 
 A/B testing
 
 on headlines, Meta descriptions, and CTAs to enhance click-through rates and conversions.
 </li>
 </ul>
 
 
 Content Strategy &amp; Planning:
 
 
 <ul>
 <li>
 Develop and implement
 
 content strategies
 
 based on industry trends, competitor analysis, and search intent.
 </li>
 <li>
 Collaborate with the
 
 SEO team
 
 ,
 
 marketing
 
 , and
 
 designers
 
 to ensure content aligns with overall SEO strategy.
 </li>
 <li>
 Work on
 
 content gap analysis
 
 and create
 
 topic clusters
 
 to improve website authority and user engagement.
 </li>
 <li>
 Research and identify new content opportunities that align with business goals and SEO priorities.
 </li>
 </ul>
 
 
 Performance Tracking &amp; Reporting:
 
 
 <ul>
 <li>
 Use SEO tools such as
 
 Google Analytics
 
 ,
 
 Google Search Console
 
 ,
 
 Ahrefs
 
 ,
 
 SEMrush
 
 , and
 
 SurferSEO
 
 to track content performance, keyword rankings, and traffic metrics.
 </li>
 <li>
 Provide
 
 regular performance reports
 
 to stakeholders, offering insights into content performance and suggesting optimization opportunities.
 </li>
 <li>
 Measure key SEO KPIs (e.g., organic traffic, conversions, bounce rates, page performance) to ensure the effectiveness of SEO strategies.
 </li>
 </ul>
 
 
 Off-Page SEO &amp; Link Building:
 
 
 <ul>
 <li>
 Develop and execute
 
 white-hat link-building
 
 strategies to improve domain authority.
 </li>
 <li>
 Engage in
 
 guest posting
 
 ,
 
 digital PR
 
 , and
 
 content syndication
 
 to build backlinks.
 </li>
 <li>
 Conduct
 
 backlink audits
 
 and competitor link analysis to identify opportunities for link acquisition.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements &amp; Qualifications:
 
 
 <ul>
 <li>
 
 5+ years
 
 of experience in
 
 SEO
 
 strategy,
 
 content writing
 
 , and optimization for
 
 B2B and B2C
 
 brands.
 </li>
 <li>
 Expertise in
 
 AEO (Answer Engine Optimization)
 
 ,
 
 VSO (Voice Search Optimization)
 
 ,
 
 PAA (People Also Ask)
 
 , and
 
 SEO optimization
 
 (on-page, off-page, and technical SEO).
 </li>
 <li>
 Strong writing, editing, and proofreading skills, with the ability to create engaging, SEO-friendly content.
 </li>
 <li>
 Proficiency with SEO tools such as
 
 Google Analytics
 
 ,
 
 Google Search Console
 
 ,
 
 Ahrefs
 
 ,
 
 SEMrush
 
 ,
 
 SurferSEO
 
 , and
 
 Clearscope
 
 .
 </li>
 <li>
 Ability to research, write, and plan content that aligns with
 
 user intent
 
 ,
 
 conversion strategies
 
 , and SEO best practices.
 </li>
 <li>
 Familiarity with
 
 schema markup
 
 ,
 
 structured data
 
 , and advanced SEO features such as
 
 featured snippets
 
 and
 
 passage indexing
 
 .
 </li>
 <li>
 
 Experience with content management systems (CMS)
 
 like
 
 WordPress
 
 and
 
 HubSpot
 
 .
 </li>
 <li>
 
 Basic HTML/CSS knowledge
 
 to make minor content and formatting adjustments.
 </li>
 <li>
 Strong understanding of
 
 conversion optimization
 
 , content funnels, and creating high-converting landing pages.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience in writing
 
 long-form content
 
 ,
 
 whitepapers
 
 ,
 
 case studies
 
 , and
 
 industry reports
 
 .
 </li>
 <li>
 Knowledge of
 
 AI-generated content
 
 ,
 
 AI-assisted workflows
 
 , and
 
 AI SEO trends
 
 .
 </li>
 <li>
 Familiarity with
 
 mobile SEO
 
 ,
 
 local SEO
 
 , and
 
 e-commerce SEO
 
 .
 </li>
 <li>
 Ability to collaborate with developers, designers, and other teams to implement SEO-driven content strategies.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Work with a
 
 dynamic SEO and Content team
 
 focused on measurable growth and high-impact projects.
 </li>
 <li>
 Access to
 
 premium SEO tools
 
 and
 
 AI-driven optimization workflows
 
 .
 </li>
 <li>
 Opportunity to work on impactful projects with
 
 top B2B and B2C brands
 
 .
 </li>
 <li>
 A
 
 collaborative
 
 ,
 
 growth-oriented
 
 environment with continuous learning opportunities.
 </li>
 <li>
 
 Competitive salary
 
 and
 
 performance-based incentives
 
 .
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re a passionate
 
 SEO specialist
 
 with expertise in
 
 advanced SEO techniques
 
 ,
 
 content writing
 
 , and
 
 optimizing content for both search engines and users
 
 , we&rsquo;d love to hear from you!
 
 
 
 
 
 
 Apply Now!
 
 
 
 If you are interested in the above position, please share your updated resume at
 
 pavan@varundigitalmedia.com
 
 .
 
 
 
 8341569819.
 
 
</div>

SEO Content Writer

Amgen

<div>
 
 Role Name:
 
 Data Engineer
 
 
 
 Department Name:
 
 XXX
 
 
 
 Role GCF:
 
 4
 
 
 
 Hiring Manager Name: Chunhai He
 
 
 
 
 About Amgen
 
 
 
 Amgen harnesses the best of biology and technology to fight the world&rsquo;s toughest diseases, and make people&rsquo;s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what&rsquo;s known today.
 
 
 
 About The Role
 
 
 
 Role Description:
 
 
 We seek a skilled Data Engineer to build and optimize our data infrastructure. As a key contributor, you will collaborate closely with cross-functional teams to design and implement robust data pipelines that efficiently extract, transform, and load data into our AWS-based data lake and data warehouse. Your expertise will be instrumental in empowering data-driven decision making through advanced analytics and predictive modeling.
 
 
 Roles &amp; Responsibilities:
 
 
 <ul>
 <li>
 Building and optimizing data pipelines, data warehouses, and data lakes on the AWS and Databricks platforms.
 </li>
 <li>
 Managing and maintaining the AWS and Databricks environments.
 </li>
 <li>
 Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring.
 </li>
 <li>
 Maintain system uptime and optimal performance
 </li>
 <li>
 Working closely with cross-functional teams to understand business requirements and translate them into technical solutions.
 </li>
 <li>
 Exploring and implementing new tools and technologies to enhance ETL platform performance.
 
 
 </li>
 </ul>
 Functional Skills:
 
 
 
 Must-Have Skills:
 
 
 
 <ul>
 <li>
 Proficient in SQL for extracting, transforming, and analyzing complex datasets from both relational and columnar data stores. Proven ability to optimize query performance on big data platforms.
 </li>
 <li>
 Proficient in leveraging Python, PySpark, and Airflow to build scalable and efficient data ingestion, transformation, and loading processes.
 </li>
 <li>
 Ability to learn new technologies quickly. Strong problem-solving and analytical skills. Excellent communication and teamwork skills.
 
 
 </li>
 </ul>
 
 Good-to-Have Skills:
 
 
 
 <ul>
 <li>
 Experienced with SQL/NOSQL database, vector database for large language models
 </li>
 <li>
 Experienced with data modeling and performance tuning for both OLAP and OLTP databases
 </li>
 <li>
 Experienced with Apache Spark, Apache Airflow
 </li>
 <li>
 Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
 </li>
 <li>
 Experienced with AWS, GCP or Azure cloud services
 
 
 </li>
 </ul>
 Education and Professional Certifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science and engineering preferred, other Engineering field is considered
 </li>
 <li>
 AWS Certified Data Engineer preferred
 </li>
 <li>
 Databricks Certificate preferred
 
 
 </li>
 </ul>
 Soft Skills:
 
 
 <ul>
 <li>
 Excellent analytical and troubleshooting skills.
 </li>
 <li>
 Strong verbal and written communication skills
 </li>
 <li>
 Ability to work effectively with global, virtual teams
 </li>
 <li>
 High degree of initiative and self-motivation.
 </li>
 <li>
 Ability to manage multiple priorities successfully.
 </li>
 <li>
 Team-oriented, with a focus on achieving team goals
 </li>
 <li>
 Strong presentation and public speaking skills.
 
 
 </li>
 </ul>
 EQUAL OPPORTUNITY STATEMENT
 
 
 Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
 
 
 We will ensure that individuals with disabilities are provided with 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.
</div>

Data Engineer

Capgemini

<div>
 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
 
 
 Your Role
 
 
 
 <ul>
 <li>
 Develop and implement advanced machine learning models and algorithms to solve complex business problems.
 </li>
 <li>
 Design and maintain end-to-end ML pipelines using MLOps best practices for model deployment and monitoring.
 </li>
 <li>
 Utilize PySpark for large-scale data processing and transformation.
 </li>
 <li>
 Collaborate with data engineers and analysts to ensure data quality, integrity, and accessibility.
 </li>
 <li>
 Perform exploratory data analysis, feature engineering, and model optimization.
 </li>
 <li>
 Communicate insights and recommendations to stakeholders through clear visualizations and reports.
 
 
 </li>
 </ul>
 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.
 
 
 
 Your Profile
 
 
 
 <ul>
 <li>
 Proven experience as a Data Scientist with a strong understanding of statistical modelling and machine learning techniques.
 </li>
 <li>
 Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, or similar).
 </li>
 <li>
 Proficiency in PySpark and distributed data processing.
 </li>
 <li>
 Strong programming skills in Python and familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Knowledge of cloud platforms (AWS, Azure, or GCP) for ML deployment is a plus.
 </li>
 <li>
 Excellent problem-solving skills and ability to work in a collaborative environment.
 
 
 </li>
 </ul>
 
 What Will You Love Working At Capgemini
 
 
 
 <ul>
 <li>
 You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.
 </li>
 <li>
 We&rsquo;re committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work.
 </li>
 <li>
 At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
 </li>
 <li>
 Capgemini office campuses in India are green and run on 100% renewable electricity. We have installed Solar plants across India locations and &lsquo;Battery Energy Storage Solution&rsquo; (BESS) in the Noida and Mumbai campuses. You will have chance to make a difference everyday.
 
 
 </li>
 </ul>
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

Eli Lilly and Company

<div>
 At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
 
 
 
 Software Engineer
 
 
 
 
 About The Technology Organization
 
 
 
 Technology at Lilly builds and maintains capabilities using pioneering technologies like most prominent tech companies. What differentiates Technology at Lilly is that we create new possibilities through tech to advance our purpose &ndash; creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver solutions in every area of our business.
 
 
 
 About The Business Function
 
 
 
 The Software Product Engineering (SPE) team is a specialised engineering group that delivers strategic solutions and differentiated capabilities. We take a forward-thinking approach, focusing on an enterprise platform and product mindset, ensuring that the solutions we build can be leveraged across Technology teams for broader impact and efficiency.
 
 
 
 Job Title: Software Engineer
 
 
 
 
 Role Summary
 
 
 
 As a Software Engineer, you will develop and maintain user-friendly, responsive, and accessible web interfaces using React and related technologies. You will collaborate with cross-functional teams to deliver high-quality solutions that enhance user experience and support business objectives.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Develop and maintain user-friendly frontend components using React and related libraries.
 </li>
 <li>
 Build responsive and accessible user interfaces, ensuring a great experience for all users.
 </li>
 <li>
 Collaborate with backend engineers to integrate APIs and deliver seamless features.
 </li>
 <li>
 Participate in code reviews and contribute ideas to improve our engineering practices.
 </li>
 <li>
 Analyse and debug software to enhance performance and maintainability.
 </li>
 <li>
 Work closely with product, design, and engineering teams to deliver high-quality solutions.
 </li>
 <li>
 Embrace opportunities to learn new technologies and tools as part of your growth.
 
 
 
 </li>
 </ul>
 
 How You Will Succeed
 
 
 
 <ul>
 <li>
 Apply modern frontend workflows and build tools (e.g., Webpack, Babel, ESLint).
 </li>
 <li>
 Integrate with backend services via RESTful APIs.
 </li>
 <li>
 Demonstrate strong communication and collaboration skills.
 </li>
 <li>
 Participate in code reviews and continuous improvement.
 
 
 
 </li>
 </ul>
 
 What You Should Bring
 
 
 
 <ul>
 <li>
 2&ndash;4 years of hands-on experience building web applications with React (or similar frameworks).
 </li>
 <li>
 Good understanding of JavaScript (ES6+), HTML5, and CSS3.
 </li>
 <li>
 Exposure to state management tools (e.g., Redux, Context API) is a plus.
 </li>
 <li>
 Familiarity with accessibility and performance optimisation best practices.
 </li>
 <li>
 Experience integrating with backend services via RESTful APIs.
 </li>
 <li>
 Exposure to version control (Git) and basic CI/CD concepts.
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field (or equivalent practical experience).
 </li>
 <li>
 Demonstrated curiosity, enthusiasm, and willingness to learn new technologies.
 
 
 
 </li>
 </ul>
 
 Basic Qualifications And Experience Requirement
 
 
 
 <ul>
 <li>
 2&ndash;4 years of hands-on experience building web applications.
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field (or equivalent practical experience).
 
 
 
 </li>
 </ul>
 
 Additional Skills/Preferences
 
 
 
 <ul>
 <li>
 Experience with TypeScript, Material-UI, or other component libraries.
 </li>
 <li>
 Exposure to cloud platforms (AWS, Azure, GCP) or containerisation (Docker) is a plus.
 </li>
 <li>
 Experience with unit testing frameworks (e.g., Jest, React Testing Library).
 </li>
 <li>
 Interest in contributing to open-source projects or tech communities.
 </li>
 <li>
 Understanding of Agile methodologies and software development lifecycle (SDLC).
 </li>
 <li>
 Experience in regulated industries (e.g., Life Sciences) is a bonus but not required.
 
 
 
 </li>
 </ul>
 Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
 
 
 Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
 
 
 #WeAreLilly
</div>

Software Engineer

Explore 36+ Nlp engineer in Hyderabad this December. Find roles across top companies and apply now to boost your career.

36 nlp engineer jobs IN Hyderabad

Data Scientist

Junior Data Scientist

Instructor - upGrad Offline Learning Centre

SEO Content Writer

Data Engineer

Data Scientist

Software Engineer