data science specialist

<div>
 
 
 Company Overview
 
 
 
 KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&amp;D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world&rsquo;s leading technology providers to accelerate the delivery of tomorrow&rsquo;s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
 
 
 
 
 
 
 Job Description
 
 
 
 We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with business partners to improve business outcomes.
 
 
 
 Responsibilities for Data Scientist/ML Engineer:
 
 
 
 &bull;Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale.
 
 
 &bull;Research and devise innovative statistical models/ML models for data analysis
 
 
 &bull;Develop and maintain RAG (Retrieval-Augmented Generation) applications. Implement changes to algorithms to improve AI performance and retrieval techniques.
 
 
 &bull;Use predictive modeling to increase and optimize customer service experience and supply chain optimization.
 
 
 &bull;Identify patterns in data using statistical modeling, develop custom data models and algorithms to apply to data sets.
 
 
 &bull;Work with business partners throughout the organization to find opportunities for using company data to drive solutions.
 
 
 &bull;Working with project managers to establish objectives for AI systems.
 
 
 
 
 
 
 
 Minimum Qualifications
 
 
 
 &bull; With Industry experience of minimum B.Tech/M. Tech + 8 years/PhD+4 years
 
 
 &bull;Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry
 
 
 &bull; Experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn).
 
 
 &bull;Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM,NB, Decision Trees.
 
 
 &bull;Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch.
 
 
 
 
 
 
 We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.
 
 
 
 
 KLA is proud to be an equal opportunity employer
 
 
 
 Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA&rsquo;s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.
 
</div>

Data Science Specialist

ibex

<div>
 We are looking for a proactive and analytical
 
 Data Scientist
 
 to join our growing team. The ideal candidate will be deeply passionate about working with data, possess a strong foundation in statistical analysis and machine learning, and demonstrate the ability to derive actionable insights from complex datasets. This role requires experience in data wrangling, exploratory data analysis (EDA), and hands-on implementation of data science techniques, including Natural Language Processing (NLP).
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and organize structured and unstructured data from diverse sources.
 </li>
 <li>
 Ensure data accuracy, consistency, and readiness for analysis.
 </li>
 <li>
 Perform thorough EDA to understand data distributions, relationships, and anomalies.
 </li>
 <li>
 Use visualization tools (e.g., Matplotlib, Seaborn, Pandas) to communicate findings.
 </li>
 <li>
 Work closely with business teams to identify trends and patterns that guide decisions.
 </li>
 <li>
 Handle missing data, outliers, and normalization techniques effectively.
 </li>
 <li>
 Transform raw data into features suitable for modeling and insights.
 </li>
 <li>
 Automate and optimize data preparation pipelines.
 </li>
 <li>
 Develop NLP pipelines for text classification, sentiment analysis, named entity recognition, and more.
 </li>
 <li>
 Work with tools such as NLTK, Hugging Face Transformers, and BERT-based models.
 </li>
 <li>
 Analyze and process unstructured text data for business use cases.
 </li>
 <li>
 Translate complex data problems into clear, actionable insights.
 </li>
 <li>
 Proactively identify opportunities for data-driven improvements across departments.
 </li>
 <li>
 Conduct root cause analysis and support hypothesis-driven investigations.
 </li>
 <li>
 Work closely with cross-functional teams including data engineers, analysts, and product stakeholders.
 </li>
 <li>
 Exhibit a high level of accountability, ownership, and willingness to support teammates.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in a data science role.
 </li>
 <li>
 Proficiency in Python (NumPy, Pandas, Scikit-learn), SQL and MongoDB
 </li>
 <li>
 Hands-on experience with NLP frameworks such as NLTK, or Hugging Face.
 </li>
 <li>
 Solid understanding of machine learning algorithms and data modeling techniques.
 </li>
 <li>
 Strong data visualization and storytelling skills.
 </li>
 <li>
 Excellent problem-solving and critical thinking abilities.
 </li>
 <li>
 Strong communication skills and a collaborative mindset.
 </li>
 </ul>
</div>

Data Scientist, Tech

Emdad By Elm

<div>
 
 
 Data Scientist
 
 
 
 
 
 
 
 Job Description:
 
 
 
 The Data Scientist is responsible for analyzing, modeling, and interpreting complex datasets to generate actionable insights and support data-driven decision-making. The role focuses on developing statistical models, machine learning algorithms, and analytical solutions that enhance organizational performance, optimize products and services, and enable strategic planning.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect, clean, and preprocess structured and unstructured data from multiple sources.
 </li>
 <li>
 Analyze large datasets to identify trends, patterns, and insights that support business and strategic objectives.
 </li>
 <li>
 Design, develop, and validate statistical models and machine learning algorithms.
 </li>
 <li>
 Build predictive and prescriptive analytics solutions to support decision-making.
 </li>
 <li>
 Collaborate with cross-functional teams to translate business requirements into analytical solutions.
 </li>
 <li>
 Develop data visualizations, dashboards, and reports to communicate findings to technical and non-technical stakeholders.
 </li>
 <li>
 Evaluate model performance and continuously improve accuracy, robustness, and scalability.
 </li>
 <li>
 Ensure data quality, integrity, and consistency across analytical outputs.
 </li>
 <li>
 Apply best practices in data governance, privacy, and ethical use of data.
 </li>
 <li>
 Document methodologies, models, and analytical processes.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
 </li>
 <li>
 Master&rsquo;s degree in Data Science, Artificial Intelligence, Statistics, or a related discipline is preferred.
 </li>
 <li>
 Minimum of
 
 2&ndash;5 years
 
 of experience in data analysis, data science, or applied machine learning.
 </li>
 <li>
 Strong proficiency in programming languages such as Python or R.
 </li>
 <li>
 Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
 </li>
 <li>
 Hands-on experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Solid understanding of statistical analysis, probability, and hypothesis testing.
 </li>
 <li>
 Experience with SQL and working with relational and non-relational databases.
 </li>
 <li>
 Ability to communicate complex analytical concepts clearly to non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Required Skills and Competencies:
 
 
 <ul>
 <li>
 Data Analysis and Statistical Modeling
 </li>
 <li>
 Machine Learning and Predictive Analytics
 </li>
 <li>
 Problem-Solving and Critical Thinking
 </li>
 <li>
 Data Visualization and Storytelling
 </li>
 <li>
 Stakeholder Collaboration
 </li>
 <li>
 Attention to Detail and Data Quality
 </li>
 <li>
 Time Management and Prioritization
 </li>
 <li>
 Ethical Data Usage and Privacy Awareness
 </li>
 </ul>
 
 
 
 
 
 Expected Outcomes:
 
 
 <ul>
 <li>
 Actionable insights that support strategic and operational decision-making.
 </li>
 <li>
 Reliable and scalable data models that improve efficiency and performance.
 </li>
 <li>
 Improved data-driven culture across the organization.
 </li>
 <li>
 Measurable impact through analytics and predictive insights.
 </li>
 </ul>
</div>

Data Scientist

Arab Solutions

<div>
 
 Job Title: Data Scientist &ndash; Population &amp; Demographic Modeling
 
 
 Role Overview
 
 
 
 The Data Scientist will lead the development and management of population and demographic models to forecast demographic dynamics and support long-term strategic planning. The role complements economic modeling by applying advanced data science, machine learning, and forecasting techniques to strengthen economic foresight, scenario planning, and policy decision-making within the Strategic Foresight Department.
 
 
 
 Key Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain population and demographic models (e.g., cohort-component models) to project fertility, mortality, and migration trends.
 </li>
 <li>
 Lead demographic data analysis using census, survey, administrative, and alternative data sources.
 </li>
 <li>
 Build and manage scalable data pipelines integrating multi-source demographic and economic datasets.
 </li>
 <li>
 Support macroeconomic modeling and forecasting through advanced statistical, econometric, and machine learning techniques.
 </li>
 <li>
 Collaborate with economists, foresight researchers, and scenario planners to integrate demographic and economic projections into foresight scenarios.
 </li>
 <li>
 Produce population outlooks, trend analyses, and interactive dashboards to inform government planning and policy development.
 </li>
 <li>
 Ensure data quality, model transparency, validation, and reproducibility.
 </li>
 <li>
 Maintain comprehensive documentation of methodologies, assumptions, and analytical outputs.
 </li>
 <li>
 Provide technical training and knowledge transfer on population modeling and data science methods.
 </li>
 <li>
 Explore innovative approaches including AI/ML, big data, geospatial analysis, and simulation techniques to enhance forecasting accuracy.
 </li>
 <li>
 Ensure structured handover and sustainability of all analytical models and tools.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree or PhD in Data Science, Statistics, Computer Science, Demography, or a related field.
 </li>
 <li>
 4+ years of experience in population modeling, demographic forecasting, or applied data science.
 </li>
 <li>
 Demonstrated expertise in population modeling and demographic data analysis.
 </li>
 <li>
 Experience working with government, public sector entities, think tanks, or international organizations is strongly preferred.
 </li>
 <li>
 Experience working with large-scale, policy-driven datasets is an advantage.
 
 
 </li>
 </ul>
 
 Technical Competencies
 
 
 
 <ul>
 <li>
 Proficiency in Python and/or R for statistical and demographic modeling.
 </li>
 <li>
 Strong experience with machine learning, simulation, and predictive analytics.
 </li>
 <li>
 Experience with cloud data platforms such as AWS, Azure, or CDP environments.
 </li>
 <li>
 Strong data management and querying skills (e.g., SQL).
 </li>
 <li>
 Proficiency in data visualization and dashboarding tools (e.g., Power BI, Tableau).
 </li>
 <li>
 Strong proficiency in Microsoft Office, especially Excel and PowerPoint for policy-oriented reporting.
 
 
 </li>
 </ul>
 
 Language Requirements
 
 
 
 <ul>
 <li>
 Fluent in Arabic and English, both written and spoken.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong analytical, critical thinking, and problem-solving abilities.
 </li>
 <li>
 High attention to detail with a strong commitment to data integrity and research quality.
 </li>
 <li>
 Ability to collaborate effectively across multidisciplinary teams.
 </li>
 <li>
 Skilled at translating complex analytical findings into clear, actionable insights for policymakers.
 </li>
 <li>
 Innovative, adaptive, and curious, with a strong interest in emerging tools and methodologies.
 
 
 </li>
 </ul>
 Skills: advanced statistical,machine learning techniques,ai/ml,foresight scenarios,aws,geospatial analysis,cloud data,cdp environments,big data,azure,data quality,econometric,data pipelines,python
</div>

Data Scientist (Arabic)

Astellas

<div>Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong to Astellas!
Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at www.astellas.com . 
 
 
Astellas&rsquo; Global Capability Centres &ndash; Overview
Astellas&rsquo; Global Capability Centres (GCCs) are strategically located sites that give Astellas the ability to access talent across various functions in the value chain and to co-locate core capabilities that are currently dispersed. Our three GCCs are located in India, Poland and Mexico.
The GCCs will enhance our operational efficiency, resilience and innovation potential, enabling a timely response to changing business demands.
Our GCCs are an integral part of Astellas, guided by our shared values and behaviors, and are critical enablers of the company&rsquo;s strategic priorities, sustainable growth, and commitment to turn innovative science into VALUE for patients. 
 
 
Purpose and Scope: 
 
The data analysis team serves as a bridge between business and technology by reporting and monitoring data, operationalizing data science and machine learning products, and identifying opportunities for continuous improvement to enhance decision-making. As a data scientist, you will be responsible for partnering with corporate functions to understand their business problem, and design, implement, and maintain digital solutions using analytical, data science, and AI/ML techniques. Mostly importantly, an innovative and collaborative mindset is needed to increase the value to patients.
Responsibilities and Accountabilities:
<ul><li>Bridge between business and technology for decision making:
<ul><li>Data storytelling.
</li><li>Uncovering patterns in data.
</li><li>Providing unbiased and data-driven insights for decision making.
</li><li>Building out analytical processes and translating results into actions for the business.
</li></ul></li></ul><ul><li>Operationalizing data science and ML products:
<ul><li>Building out automated processes based on data science and ML products and incorporating them into BAU processes
</li><li>Collecting business stakeholder input and buy-in to increase use of analytical products for increased efficiency and decreased costs.
</li><li>Utilize programming languages such as Python and R to perform data analysis and modeling.
</li></ul></li></ul><ul><li>Identification of continuous improvement:
<ul><li>Identification of opportunities for improvement across business pipelines.
</li><li>Coordination across multiple teams and stakeholders to act.
</li><li>Stay updated on industry trends and best practices in data analysis, data science, AI, and business intelligence.
 
</li></ul></li><li>Reporting and monitoring:
<ul><li>Dashboard creation for reporting and monitoring: develop and maintain dashboards and reports using BI tools such as QlikSense and Tableau to visualize data and support decision-making.
</li><li>Collaborate with cross-functional teams to define key performance indicators (KPIs) and metrics for tracking business performance.
</li><li>Present findings and recommendations to stakeholders in a clear and concise manner.
</li><li>Data visualization.
</li><li>Database querying using SQL.
</li><li>Basic statistical analysis: analyze complex datasets to identify trends, patterns, and opportunities for improvement.</li></ul></li></ul></div>
 <div>Required Qualifications:
<ul><li>3-5 years of experience in data analysis or data science role.
</li><li>Bachelor&rsquo;s degree in mathematics, data science, statistics, or a related field.
</li><li>3-5 years of experience using Python and R.
</li><li>3-5 years of experience using statistical and AI/ML concepts.
</li><li>Demonstrates strong innovative mindset to increase value to patients.
</li><li>3+ years of experience using business intelligence tools including Qliksense, Tableau, and/or PowerBI.
</li><li>Proficiency in database querying languages such as SQL and knowledge of database management systems.
</li><li>Knowledge of or experience using Generative AI.
</li><li>Experience ensuring data quality, consistency, and accuracy.
</li><li>Strong analytical and problem-solving skills, with the ability to interpret complex data sets.
</li><li>Excellent communication and presentation skills, with the ability to convey technical information to non-technical stakeholders.
</li><li>Ability to communicate and work effectively with other technical team members to agree on a best solution.
</li><li>A self-starter able to work on own but know when to collaborate with wider team to ensure best overall solution.
</li><li>Experience working with data warehousing and data modelling.
</li><li>Ability to design and implement logical and physical data models.
</li><li>Familiarity with data warehousing concepts, including star schema, snowflake schema, and data marts.
</li><li>Understanding of ETL (Extract, Transform, Load) processes and data integration techniques.
</li><li>Ability to work collaboratively in a fast-paced, team-oriented environment.
</li>Ability to adhere to agile principles and to act as an agile champion. 
<li>
 
 
</li></ul>Preferred Qualifications:
<ul><li>Master&rsquo;s or PhD in mathematics, data science, statistics, or a related field.
</li><li>Experience using PySpark.
</li><li>Experience in a consulting role.
</li><li>Experience in the pharmaceutical or healthcare industry.
</li><li>Proficiency with Databricks.
</li>Experience with Cloud environments, DevOps, infrastructure, and deployment. 
<li>
</li></ul>Working Environment:
At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas&rsquo; Responsible Flexibility 
&quot;Beware of recruitment scams impersonating Astellas recruiters or representatives. Authentic communication will only originate from a verified company email address (Astellas email address) or an official Astellas LinkedIn profile. If you encounter a fake profile or anything suspicious, report it promptly to LinkedIn's support team through LinkedIn Help&quot;</div>

Ford Motor Company

<div>The Global Data Insights and Analytics (GDI&amp;A) department is looking for qualified people who can develop scalable solutions to complex real-world problems using AI, Machine Learning, Cloud, Advanced Analytics. The goal of GDI&amp;A is to drive evidence-based decision making by providing insights from data. Applications for GDI&amp;A include, but are not limited to, Customer Experience, Analytics, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics.
Ford Customer Service Division , within Ford, is committed to provide our customers the &ldquo;Always On&rdquo; experience and our mission is to get our customers back on the road, in the shortest possible time. FCSD is a true one-stop shop, offering comprehensive Diagnostics, Repair &amp; Service Capabilities for a full portfolio of Electrified, Hybrid and Internal combustion vehicles globally.
<div>Build analytical solutions that support
</div><div>&bull; Dealers to Diagnose, Repair &amp; Service our vehicles
</div><div>&bull; Customers for a seamless Service experience
</div><div>&bull; A highly Profitable, Critical and Complex Parts &amp; Service business 
</div><div></div><div>A Data Scientist who can enable FCSD-Service Engineering operations team by building and delivering impactful analytical products adhering to the best practices in AI/ML space exhibiting Ford OS behaviours will certainly be a great fit for this role. This role will be an individual contributor role. which requires a strong foundation in data science methodologies, technical skills, and the ability to collaborate effectively with various stakeholders to translate business needs into solvable data science problems. You will play a crucial role in quantifiable contributions to business goals through models, experiments, and insights, while maintaining high standards of quality.</div></div>
 <div><ul><li>BE, B.Tech, M.S./Masters in data science, Statistics, Computer Science, Applied Mathematics or a related engineering discipline
</li><li>Minimum 3 years of hands-on experience in building end to end AI/ML based solutions for solving business problems
</li><li>Strong proficiency in Python, data science libraries ((e.g., Scikit-learn, XGBoost, TensorFlow/PyTorch basics), SQL
</li><li>Demonstrated technical skills in Data Wrangling, Data Visualization, Statistical Analysis, Programming, Machine Learning
</li><li>Strong understanding of core data science concepts, including statistics, probability, and machine learning basics.
</li><li>Experience working with Google Cloud Platform (GCP) for building data pipelines, AI models, and model deployment (BigQuery, VertexAI, Dataform, API)</li></ul></div>
 <div><ul><li>Build an in-depth understanding of the problem domain and available data sources
</li><li>Extract and Analyze data from GCP tables, data warehouse/data marts to discover insights, trends and patterns relevant to the business problem
</li><li>Support existing analytical products, LLM model and associated pipelines. Propose improvements to existing models or analyses when needed.
</li><li>AI first approach, artificial intelligence at the core of a business's operations, products, and strategy
</li><li>Closely collaborate with business partners, data engineers and product owner
</li><li>Build analytical solutions to drive business value ensuring data-driven decisions
</li><li>Communicate insights and results to business teams, senior leadership through presentations. Collaborate across teams as needed and share findings effectively to varied audiences.
</li><li>Design and implement scalable analytical solutions (Dashboards, statistical models, AI/ML models) in cloud environment.
</li><li>Train, test and operationalize models for business use cases; integrates models with upstream and downstream business processes.
</li><li>Produce clear documentation for data sources, transformations, assumptions, analyses, models, and experiments.
</li><li>Work with business partners through problem formulation, data management, solutions development and operationalization 
</li></ul>Technical Skills:
<ul><li>Strong Proficiency in Python , Statistics, SQL , Visualization
</li><li>AI, LLM framework, Machine Learning frameworks
</li><li>Working knowledge in GCP cloud environment
</li><li>Nice to have: API Development, Familiarity with Agile development cycle
</li></ul>Functional Skills:
<ul><li>Problem Formulation &amp; Problem-Solving Skills
</li><li>Business Acumen
</li><li>Ownership mindset, Proactive learner, Strong bias for action
</li><li>Comfortable working in an environment where problems are not always well-defined
</li><li>Strong interpersonal skills with ability to communicate complex topics to business, leaders, peers in a simple and clear manner</li></ul></div>

ZecData Technology

Key Responsibilities:● Analyze large and complex datasets to identify trends, patterns, and actionable insights. ● Build, validate, and deploy predictive models and machine learning algorithms. ● Collaborate with engineering, product, and business teams to define data needs and deliver analytics solutions. ● Design and implement A/B tests and other experiments to evaluate business strategies. ● Communicate findings clearly to both technical and non-technical stakeholders through reports and visualizations. ● Continuously improve data science best practices, tools, and processes.Required Skills &amp; Qualifications:● Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, DataScience, or a related field . ● 2&ndash;5 years of experience in a data science or similar analytical role. ● Proficient in Python (Pandas, NumPy, Scikit-learn, etc.) or R. ● Strong SQL skills for data extraction and manipulation. ● Hands-on experience with machine learning algorithms and statistical modeling. ● Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). ● Strong problem-solving skills and a detail-oriented mindset. ● Excellent communication and collaboration abilities.Nice to Have:● Experience with cloud platforms (AWS, GCP, or Azure). ● Familiarity with big data tools like Spark, Hadoop, or Databricks. ● Knowledge of MLOps tools and model deployment pipelines. ● Experience with version control (e.g., Git) and agile development practices.Job Type: Full-timePay: ₹200,000.00 - ₹1,000,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Work Location: In person

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