data science engineer

Capgemini

<div><div><div><p>Hyderabad</p><div>
Lead Data Science Engineer</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
</p><div><div><div><div>Your Role</div></div><div><div>
Strong hands-on experience with SQL (advanced queries, optimization, stored procedures).</div><div>
Proficiency in Python and PySpark.</div><div>
Solid understanding of data warehousing concepts, ETL frameworks, and data modeling.</div><div>
Experience with at least one major cloud platform: AWS, Azure, or Google Cloud.</div><div>
Working knowledge of Azure Services (ADF, Databricks, Synapse, Azure Functions) is a plus.</div><div>
Understanding of CI/CD practices and related tools.</div><div>
Knowledge of machine learning concepts and data science workflows.</div>
Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutionsorapplications.1. Applies scientific methods to analyse and solve software engineering problems.2. Heorshe is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. Hisorher 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 hisorher 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.</div></div><div><div><div>
Your Profiles</div></div><div><div>
Strong hands-on experience with SQL (advanced queries, optimization, stored procedures).</div><div>
Proficiency in Python and PySpark.</div><div>
Solid understanding of data warehousing concepts, ETL frameworks, and data modeling.</div><div>
Experience with at least one major cloud platform: AWS, Azure, or Google Cloud.</div></div></div></div><p>
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.<br>
Make it real | www.capgemini.com</p></div></div><div><div><div>
<div><div>Ref. code</div><div>
409193-en_GB</div></div><div><div>
Posted on</div><div>
19 Feb 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Hyderabad</div></div><div><div>
Business unit</div><div>
Other Delivery units</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

Lead Data Science Engineer

Conure Information Technology Services

<p><b>Role:</b> Data Science Engineer<br/><b>Employment Type:</b> Full-time<br/><b>Location</b>: Karachi (Hybrid)</p><p><b>Experience</b>: 5+ years</p><p><b>About the Role</b><br/>We are seeking a Data Science Engineer to apply analytics and machine learning techniques to CRM data to improve insights, automation, and decision-making.</p><p><b>Key Responsibilities</b></p><ul><li>Analyze structured and unstructured CRM data.</li><li>Build predictive and analytical models.</li><li>Collaborate with engineering teams to productionize models.</li><li>Develop data-driven features and insights.</li><li>Evaluate model performance and improve accuracy.</li></ul><p><b>Required Skills</b></p><ul><li>Strong programming skills (Python preferred).</li><li>Experience with data analysis and modeling.</li><li>Knowledge of statistics and machine learning fundamentals.</li><li>Experience working with large datasets.</li></ul><p><b>Nice to Have</b></p><ul><li>Experience with CRM or customer analytics.</li><li>Exposure to MLOps practices.</li><li>Experience with recommendation or forecasting models.</li></ul><p>Job Type: Full-time</p><p>Work Location: Hybrid remote in Karachi</p>

Data Science Engineer-CRM

Standard Chartered Bank

<p></p><div><div><div><div><div><div><b>Requisition Number: </b>49248
</div></div></div></div><div><div><div><div><b>Job Location: </b>Bangalore, IND
</div></div></div></div><div><div><div><div><b>Work Type: </b>Office Working
</div></div></div></div><div><div><div><div><b>Employment Type: </b>Permanent
</div></div></div></div><div><div><div><div><b>Posting Start Date: </b>17/02/2026
</div></div></div></div><div><div><div><div><b>Posting End Date: </b>07/03/2026
</div></div></div></div><div><div><div><div><b>:
</b><div><div><div><div><b>Job Summary</b></div>
</div><div><ul><li>We seek an experienced AI software engineer to contribute to the technical development of our AI Center of Excellence (AI CoE). This role focuses on hands-on development of Python-based AI platforms and products, supporting the implementation from prototypes through production deployment in a regulated banking environment. You will work within cross-functional teams to build compliant, scalable AI systems that deliver business value.</li></ul></div></div><div><div><div><b>
Key Responsibilities</b></div>
</div><div><div><b>
Development (Python Full-Stack)</b><br>
<ul><li>Develop and maintain Python-based AI services and components for:</li><li>LLM integration, RAG services, prompt management, and basic evaluation frameworks</li><li>Data processing pipelines, feature stores, and retrieval systems</li><li>Text-to-SQL services and API integrations</li><li>Implement REST APIs using FastAPI/Flask and integrate with frontend components (React/TypeScript)</li><li>Contribute to microservices architecture and ensure code quality, performance, and reliability</li></ul><b>
Model Implementation and Deployment</b><br>
<ul><li>Support the technical implementation from PoC MVP production with guidance from senior engineers</li><li>Develop and maintain CI/CD pipelines for Python services and ML models</li><li>Implement automated testing, model validation checks, and basic monitoring solutions</li><li>Deploy models and services on Kubernetes/OpenShift environments</li><li>Create and maintain technical documentation and deployment guides</li></ul><b>
Security, Risk &amp; Compliance</b><br>
<ul><li>Implement security best practices in code: input validation, secure API endpoints, data handling</li><li>Integrate security scanning tools (SAST/DAST) into development workflows</li><li>Follow established patterns for data privacy, access controls, and audit logging</li><li>Support compliance requirements through automated testing and documentation</li></ul></div></div></div><div></div><div><div>
</div><div><div><b>
Operations &amp; Monitoring</b><br>
<ul><li>Implement monitoring and logging using established frameworks (OpenTelemetry, Prometheus)</li><li>Develop health checks, performance metrics, and basic alerting systems</li><li>Support production troubleshooting and incident response</li><li>Optimize model inference performance and resource utilization</li><li>Maintain operational runbooks and support procedures.</li></ul><b>
People &amp; Stakeholder Management</b><br>
<ul><li>Collaborate with senior engineers, data scientists, and platform teams on technical solutions</li><li>Contribute to code reviews, technical discussions, and knowledge sharing sessions</li><li>Follow established coding standards, documentation practices, and development processes within bank</li><li>Stay current with AI/ML technologies and contribute to use cases and ideas</li><li>Support junior team members through pair programming and technical guidance</li></ul><b>
Strategy</b><br>
<ul><li>Understanding of AI CoE technical direction and ability to contribute to engineering solutions</li></ul><b>
Business</b><br>
<ul><li>Technical knowledge of AI model applications and their integration within banking systems</li></ul><b>
Processes</b><br>
<ul><li>Hands-on development and maintenance of Machine Learning/GenAI models and supporting services</li></ul><b>
People &amp; Talent</b><br>
<ul><li>Mentoring junior developers and contributing to team knowledge sharing</li></ul></div></div></div><div></div><div><div>
</div><div><div><b>
Risk Management</b><br>
<ul><li>Implementation of established ML model controls and monitoring systems</li></ul><b>
Governance</b><br>
<ul><li>Following Responsible AI practices and contributing to compliance automation</li></ul><b>
Regulatory &amp; Business Conduct</b><br>
<ul><li>Display exemplary conduct and live by the Group&rsquo;s Values and Code of Conduct.</li><li>Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.</li><li>Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.</li></ul><b>
Key stakeholders</b><br>
<ul><li>CIB AI COE</li></ul></div></div></div><div><div><div><b>
Skills and Experience</b></div>
</div><div><ul><li>Python Programming</li><li>ML/DL Frameworks (Scikit-learn, XGBoost, PyTorch, TensorFlow)</li><li>Data Science &amp; Analytics</li><li>Large Data Processing</li><li>Cloud Platforms &amp; Services</li><li>Production Deployment &amp; DevOps</li><li>API Development &amp; Integration</li><li>Software Engineering &amp; Architecture</li><li>AI Model Implementation</li><li>Security &amp; Compliance Practices</li></ul></div></div><div><div><div><b>
Qualifications</b></div>
</div><div><div><b>
Education</b><br>
<ul><li>Bachelor&rsquo;s degree (or above) in Computer Science, Computing engineering, Mathematics, or a related field.</li></ul><b>
Languages</b><br>
<ul><li>English</li></ul></div></div></div><div><div><div><b>
About Standard Chartered</b></div>
</div><div><p>
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.</p>
<p>Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.</p>
<p>Together we:</p>
<ul><li><b>Do the right thing</b> and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do</li>
<li><b>Never settle,</b> continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well</li>
<li><b>Are better together,</b> we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term</li>
</ul></div></div><div><div><div><b>What we offer</b></div>
</div><div><p><b>
In line with our Fair Pay Charter,</b> we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.</p>
<ul><li><b>Core bank funding for retirement savings, medical and life insurance,</b> with flexible and voluntary benefits available in some locations.</li>
<li><b>Time-off</b> including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.</li>
<li><b>Flexible working</b> options based around home and office locations, with flexible working patterns.</li>
<li><b>Proactive wellbeing support</b> through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits</li>
<li><b>A continuous learning culture</b> to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.</li>
<li><b>Being part of an inclusive and values driven organisation,</b> one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.</li></ul></div></div></div></div></div></div></div></div></div><p></p>

Data Science Engineer

Adobe

About the Role
<br>Adobe is seeking a highly skilled Senior Data Engineer to join our Doc Cloud Product & Business Analytics organization. This role focuses on building and operating large-scale analytical data pipelines and analytics-ready data tables that power product adoption, usage metrics, experimentation (A/B testing), and executive dashboards across a massive monthly active user base.
<br>You will work primarily on Azure Databricks, playing a key role in setting up and evolving our Databricks-based analytics data warehouse , including curated tables, metric foundations, and scalable data models. This role is ideal for a hands-on data engineer with deep expertise in SQL, Python, Spark, and Delta Lake , and a strong understanding of analytics-driven data warehousing and product analytics. Key Responsibilities
<br>Design, build, and maintain large-scale, production-grade data pipelines on Azure Databricks using Apache Spark and Python
<br>Write and optimize complex, high-performance SQL for data transformation, aggregation, and analytics workloads at scale
<br>Develop and maintain analytics-ready data models (fact tables, dimensions, rollups, metric layers, and gold layer tables) used for dashboards and reporting
<br>Optimize Databricks workloads for performance, reliability, and cost efficiency , including tuning Spark jobs and Delta Lake tables
<br>Establish and apply Delta Lake best practices , including incremental and idempotent processing, MERGE patterns, partitioning, and table optimization.
<br>Partner closely with product analysts, business analysts, data scientists, and product managers to enable reliable, self-serve analytics, supporting product-led growth use cases.
<br>Implement data quality checks, validation frameworks, and monitoring to ensure accurate and trusted analytics metrics
<br>Apply strong Data engineering best practices , including version control and documentation
<br>Contribute to solutions that integrate structured and unstructured data , including selective use of GenAI / LLM-based capabilities where relevant Required Qualifications
<br>Education
<br>Bachelor’s degree or higher in Computer Science, Engineering, or a related field
<br>Experience
<br>6–12 years of professional experience in Data Engineering
<br>Proven experience building and supporting production-grade analytical data pipelines at scale
<br>Technical Expertise (Must-Have)
<br>Expert-level SQL skills, including complex joins, window functions, performance tuning, and large-scale aggregations
<br>Advanced Python proficiency for data processing, pipeline development, and automation
<br>Deep hands-on experience with Azure Databricks and Apache Spark
<br>Strong understanding of Delta Lake and optimization techniques (partitioning, Z-ordering, compaction)
<br>Experience designing data models optimized for analytics and BI consumption
<br>Cloud & Platform
<br>Strong experience with Microsoft Azure , including data lake storage and access controls
<br>Familiarity with lakehouse architectures and enterprise data governance concepts Preferred Qualifications
<br>Experience with streaming or near–real-time data pipelines on Databricks
<br>Prior experience supporting product analytics, feature adoption, or MAU-based metrics
<br>Exposure to MLOps, LLM deployment, or GenAI-enabled data applications
<br>Familiarity with BI tools such as Tableau or Power BI and their performance considerations
<br>Experience mentoring analysts or junior data engineers
<br><br>
About Adobe
<br>Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
<br><br>
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
<br><br>
Let’s Adobe together
<br>At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
<br><br>
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
<br><br>
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
<br><br>
<b>AI Use Guidelines for Interviews:</b><br>
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
<br><br>
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .

Senior Data Science Engineer

CapTech Consulting

<div><b>Company Description</b><p><br>
CapTech is an award-winning consulting firm that collaborates with clients to achieve what&rsquo;s possible through the power of technology. At CapTech, we&rsquo;re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.</p><br>
<div></div>
<b>
Job Description</b><p><br>
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.</p><p><b><i>
Specific responsibilities for the Lead Machine Learning Engineer position include:
</i></b></p><ul><li>Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs</li><li>
Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.</li><li>
Deconstructing client needs into data-driven processes/models and analytical measures.</li><li>
Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).</li><li>
Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).</li><li>
Productionizing ML systems with a focus on optimization and scalability to satisfy clients&rsquo; requirements.</li><li>
Growing CapTech&rsquo;s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.</li></ul><br>
<div></div>
<b>
Qualifications</b><br>
<ul><li>
7+ years of experience delivering data engineering and machine learning solutions on cloud platforms</li><li>
Bachelor's degree or equivalent combination of education and experience.</li><li>
Experience providing technical leadership and mentoring other engineers in data engineering space</li><li>
Hands-on experience manipulating and analyzing large (multi-billion record) data sets.</li><li>
Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.</li><li>
Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.</li><li>
Proficiency with containerization (e.g., Docker) and microservices.</li><li>
Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS</li><li>
Comfort and proficiency in framing data-driven problems from cross-industry business requirements.</li><li>
Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)</li><li>
Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).</li><li>
Knowledge of DevOps and automation best practices.</li><li>
Knowledge of statistics and statistical modeling methods.</li><li>
Knowledge of model management and model versioning best practices.</li><li>
Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting</li><li>
Experience with prompt engineering, MCP and RAG, and agentic AI architectures</li><li>
Strong understanding of conversational UX and prompt evaluation metrics</li><li>
Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)</li><li>
Experience with multi-agent orchestration</li></ul><br>
<div></div>
<b>
Additional Information</b><p><br>
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we&rsquo;ve launched extended benefits to help meet our employees&rsquo; needs.</p><ul><li>
Learning &amp; Development &ndash; Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths</li><li>
Modern Health &ndash;A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life&rsquo;s ups and downs</li><li>
Carrot Fertility &ndash;Inclusive fertility and family-forming coverage for all paths to parenthood &ndash; including adoption, surrogacy, fertility treatments, pregnancy, and more &ndash; and opportunities for employer-sponsored funds to help pay for care</li><li>
Fringe &ndash;A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them &ndash; ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more</li><li>
Employee Resource Groups &ndash; Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations</li><li>
Philanthropic Partnerships &ndash; Opportunities to engage in partnerships and pro-bono projects that support our communities.</li><li>
401(k) Matching &ndash; Generous matching and no vesting period to help you continue to build financial wellness</li></ul><p>
CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness &mdash; each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.</p></div><p></p>

Lead Machine Learning / Data Science Engineer

Mukizh Fashions

<p><b>Job Title:</b> Senior Data Science Engineer<br/><b>Location:</b> Chennai (Onsite)<br/><b>Job Type:</b> Full-Time<br/><b>Experience Required:</b> 6+ Years</p><p>Position Summary</p><p>We are hiring a Senior Data Science Engineer responsible for designing, developing, and maintaining scalable data platforms and analytics solutions. The ideal candidate will have strong expertise in Python-based backend data systems, modern data warehousing, and high-performance data pipelines.</p><p>This role involves working closely with analytics and business teams to transform raw data into reliable datasets, reports, and dashboards that support decision-making and operational efficiency.</p><p>Key Responsibilities</p><ul><li>Design, build, and maintain scalable ETL/ELT data pipelines</li><li>Develop backend data processing services using Python</li><li>Integrate multiple data sources and automate data ingestion workflows</li><li>Optimize database schemas, indexing, and complex SQL queries</li><li>Manage and maintain data warehouse environments</li><li>Support reporting, analytics, and dashboard development</li><li>Monitor data pipelines and resolve performance or reliability issues</li><li>Ensure data quality, validation, and governance standards are followed</li><li>Collaborate with stakeholders to understand reporting and analytics needs</li></ul><p>Technical Skills Required</p><p><b>Programming:</b></p><ul><li>Advanced Python development</li><li>FastAPI, Pydantic, SQLAlchemy</li></ul><p><b>Databases:</b></p><ul><li>PostgreSQL</li><li>MongoDB</li><li>Query performance tuning and optimization</li></ul><p><b>Data Warehousing:</b></p><ul><li>BigQuery or Snowflake</li><li>Data modeling and schema design</li></ul><p><b>Analytics &amp; Reporting:</b></p><ul><li>Metabase or similar BI tools</li><li>Exploratory Data Analysis (EDA)</li></ul><p><b>Data Engineering:</b></p><ul><li>Complex ETL/ELT pipeline development</li><li>Data integration and workflow automation</li></ul><p>Candidate Requirements</p><ul><li>Minimum 6+ years of experience in Data Engineering or Data Science Engineering roles</li><li>Strong hands-on coding experience in Python</li><li>Experience working with structured and unstructured datasets</li><li>Proven ability to design scalable and maintainable data systems</li><li>Experience with modern data warehouse platforms</li><li>Solid understanding of data architecture and data lifecycle management</li><li>Strong analytical and problem-solving skills</li><li>Ability to work independently in a fast-paced environment</li></ul><p>Preferred Qualifications</p><ul><li>Experience building REST APIs for data services</li><li>Knowledge of cloud platforms (AWS, GCP, or Azure)</li><li>Experience handling large-scale datasets and batch processing</li><li>Understanding of data governance and validation practices</li></ul><p>What We Offer</p><ul><li>Opportunity to work on real-world, large-scale data systems</li><li>High ownership and technical decision-making responsibilities</li><li>Collaborative engineering environment</li><li>Long-term career growth opportunities</li></ul><p>How to Apply</p><p>Interested candidates can share their updated resume to <b>madhan@revolite.io</b>.</p><p>Job Types: Full-time, Permanent</p><p>Pay: Up to ₹1,500,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Senior Data Scientist

Micron Technology

<div><p><b>Our vision is to transform how the world uses information to enrich life for </b><b><i>all </i></b><b>.
</b></p><p>Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
</p><p></p><p>As a Senior Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.
</p><p></p><p>You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.
</p><p></p><p><b>Responsibilities </b>:
</p><ul><li><p>Develop and implement AI and ML solutions to support product development, validation, and optimization.
</p></li><li><p>Collaborate with functional subject matter experts within engineering groups to understand domain challenges and develop data science solutions.
</p></li><li><p>Stay updated on the latest advancements in data science and apply them to solve complex problems.
</p></li></ul><p></p><p><b>Minimum Qualifications </b>:
</p><ul><li><p>A Bachelor&rsquo;s degree in Engineering, Mathematics, Computer Science, Data Science, Physics, or a related field plus over 5 years of relevant experience is required. Alternatively, a Master&rsquo;s degree with more than 2 years of experience or a PhD with no experience is acceptable in data science and/or the semiconductor industry.
</p></li><li><p>Verified capability in building and launching data science solutions that include data engineering, application of Machine Learning algorithms, UI/UX, and ML Ops.
</p></li><li><p>Proficient in programming languages such as Python or R.
</p></li><li><p>Excellent written and verbal English-language communication and presentation skills.
</p></li></ul><p></p><p><b>Preferred Qualifications </b>:
</p><ul><li><p>Experience within the semiconductor sector is strongly preferred. Experience in the memory sector is highly desirable.
</p></li><li><p>Expertise working with Large Language Models (LLMs), including fine-tuning, timely engineering, and evaluation of model performance.
</p></li><li><p>Familiarity with agentic AI systems&mdash;designing, deploying, or integrating autonomous agents capable of reasoning, planning, and accomplishing tasks across complex workflows.
</p></li><li><p>Ability to build strong interpersonal relationships and a passion to teach others about data science and continue to learn new techniques.
</p></li></ul><p></p><p>The US base salary range that Micron Technology estimates it could pay for this full-time position is:
</p><p></p>$114,000.00 - $242,000.00 a year
<p></p><p>Additional compensation may include benefits, bonuses and equity.
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Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
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<br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
</p><p></p><p>As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .
</p><p></p><p>Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.</p><p></p><p><b><br>
</b></p><p></p><p>To learn more about Micron, please visit micron.com/careers
</p><p></p><p>US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron&rsquo;s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
</p><p></p><p>Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
</p><p></p><p>Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
</p><p></p><p>AI alert <b>: </b>Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
</p><p></p><p>Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.</p></div><p></p>

Sr Data Scientist, TPG

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