Statistical Process Control SPC Jobs in Pune

Quality Control Manager | Pune Job Description We are looking for an experienced Quality Control Manager who will coordinate inspection services across projects, monitor quality performance, and generate detailed reports based on key performance indicators. You will lead the quality assurance efforts to exceed client expectations and maintain high-quality standards throughout the organization. Key Responsibilities Promote a culture of quality achievement and continuous performance improvement across all departments. Develop, implement, and maintain a comprehensive product quality assurance strategy covering all stages of product development. Set and monitor quality assurance (QA) compliance objectives, ensuring targets are consistently met. Integrate environmental, health, and safety standards into quality procedures. Establish clear quality standards and methods for staff to follow. Collaborate with operations teams to define and enforce quality control procedures. Oversee and support a distributed team to maintain consistent quality performance. Prepare and present quality performance reports to management and stakeholders. Qualifications & Requirements Minimum 3 years of quality control experience in a managerial role. Proven ability to manage and coordinate distributed or remote teams effectively. Strong communication skills with the ability to interact at all organizational levels. In-depth knowledge of quality management systems, environmental standards, and health and safety regulations. Analytical mindset with excellent report-writing skills. Lead quality assurance initiatives in a growing and dynamic company. Work with cross-functional teams to drive operational excellence. Competitive salary and opportunities for professional development. Supportive work culture focused on innovation and quality. Location: Pune Job Type: Full-time Experience: 3+ years Industry: Quality Control / Manufacturing / Operations

Job Title: Senior Engineer Quality Location: Pune Department: Quality Assurance / Quality Control Experience Level: Minimum 7 Years Relevant Experience Business Unit: North America Business About Zetwerk Zetwerk is the world s largest global manufacturing network for custom manufacturing, transforming digital designs into physical products. Our manufacturing solutions span simple items like steel pipes to complex aerospace components, serving industries such as Oil & Gas, Energy, Infrastructure, Aerospace, Renewables, Electric Vehicles, Consumer Electronics, and Space. With thousands of manufacturing partners, Zetwerk offers expertise in metal fabrication, CNC machining, plastic injection molding, 3D printing, aluminum die casting, and more. Our technology-driven platform delivers faster, cost-effective manufacturing with world-class quality and complete transparency through our proprietary Manufacturing Operating System, ZISO. Zetwerk is revolutionizing manufacturing by connecting and empowering stakeholders across the supply chain. We provide a collaborative and innovative work environment that supports career growth, ambition, and an inclusive culture. Join us to be a part of a company where your impact truly matters. Role Overview As a Senior Engineer Quality, you will play a critical role in implementing and managing quality assurance and control processes for heavy fabricated components and assemblies. You will lead quality inspections, ensure compliance with standards, and drive continuous improvements to enhance product quality and reliability. Key Responsibilities Develop and execute QA/QC procedures and inspection protocols across all fabrication and assembly stages. Prepare, review, and approve Inspection Test Plans (ITPs), Work Instructions, and Quality Plans. Conduct in-process and final inspections for heavy fabricated components and structures. Evaluate welding procedures and supervise weld inspections ensuring compliance with standards. Interpret and supervise Non-Destructive Testing (NDT) reports. Inspect machined components, verifying dimensional tolerances with precision instruments. Review and approve surface treatment and painting processes per standards (e.g., SA 2.5, DFT measurement). Support root cause analysis (RCA), corrective and preventive action (CAPA) initiatives. Review supplier quality documentation and incoming material inspections for castings, forgings, and fabricated items. Drive continuous improvement projects to reduce defects, rework, and rejection rates. Qualifications & Experience Bachelor s degree in Mechanical Engineering or related field. Minimum 7 years of relevant experience in QA/QC for heavy fabrication, preferably within industrial or capital equipment manufacturing. Strong expertise in fabrication, welding, and machining inspection. Proficient in Core Quality Tools: FMEA, MSA, SPC, PPAP, Control Plans. Knowledge of quality standards including ISO 9001, IATF 16949, ASME, and AWS. Hands-on experience with precision inspection instruments and interpretation of engineering drawings and GD&T. Willingness to travel to supplier locations across Pune and other parts of India. Join Zetwerk and contribute to a transformative manufacturing ecosystem delivering quality and innovation at scale. Qualification : Bachelors degree in Mechanical Engineering or related field.

Position: Customer Quality Engineer Location: Pune, Maharashtra, India Employment Type: Full-Time Company: RENATA Precision Components Pvt. Ltd. Experience Required: 3 5 years Industry: Plastic Injection Moulding Automotive & Allied Sectors Company Overview RENATA Precision Components Pvt. Ltd. is a leading manufacturer of high-quality plastic injection moulded components, catering to the automotive and other engineering industries. We're committed to delivering precision, quality, and customer satisfaction through continuous improvement and adherence to global standards. Position Overview We're looking for a skilled and proactive Customer Quality Engineer to manage customer complaints and ensure compliance with quality standards in line with automotive industry requirements. This role demands a hands-on approach to quality systems, documentation, and effective problem-solving. Key Responsibilities Act as the primary point of contact for handling and resolving customer complaints. Prepare and maintain PPAP (Production Part Approval Process) documentation as per customer and IATF requirements. Utilize problem-solving tools (e.g., 8D, 5 Why, Fishbone) to analyze and address quality issues. Ensure adherence to IATF 16949:2015 quality management system standards. Coordinate with internal departments to implement corrective and preventive actions. Maintain clear and professional communication with customers regarding quality concerns. Support audits and quality system improvements based on customer feedback and internal reviews. Qualifications & Experience B.E. in Mechanical or Production Engineering. 3 to 5 years of experience in a customer quality role within the automotive manufacturing industry. Skills & Competencies In-depth understanding of automotive quality standards and processes. Strong knowledge of PPAP, APQP, FMEA, SPC, MSA. Proficient in using quality tools and methodologies for root cause analysis. Effective communication and interpersonal skills for customer engagement. Proficient in MS Office (Word, Excel, PowerPoint, Outlook). Detail-oriented, resourceful, and able to manage multiple tasks effectively. Be part of a dynamic quality team at RENATA and contribute to delivering world-class components to global automotive clients. We offer a collaborative work environment, opportunities for professional development, and a strong focus on continuous improvement and customer satisfaction.

About Whirlpool Corporation Whirlpool Corporation (NYSE: WHR) is a global leader in kitchen and laundry appliances, dedicated to improving life at home for families around the world. With a commitment to purposeful innovation and an iconic brand portfolio including Whirlpool, KitchenAid, Maytag, Consul, Brastemp, Amana, Bauknecht, JennAir, Indesit, and InSinkErator we combine cutting-edge technology with decades of expertise. In 2023, we reported approximately $19 billion in annual sales, supported by 59,000 employees and 55 manufacturing and technology research centers globally. Learn more at WhirlpoolCorp.com. About the Team Our Quality Assurance team plays a critical role in ensuring the highest product standards for our customers. This team works closely with suppliers to maintain quality, improve processes, and resolve issues quickly and effectively. From new product launches to ongoing supplier development, we partner with internal teams and external suppliers to drive a culture of excellence. About the Role As a Supplier Quality Engineer/Manager, you will be responsible for ensuring the performance and quality of direct material suppliers across Asia and IPO supply chains. You will lead new product integration (NPI) and existing product improvements (EPI) by driving supplier development processes, solving escalated quality issues, and collaborating closely with global teams. Your work will directly impact the quality and reliability of Whirlpool products delivered to millions of homes. Key Responsibilities Partner with suppliers to ensure flawless new product launches. Lead supplier quality processes for NPI and EPI projects, including APQP (Advanced Product Quality Planning) and PIQ (Purchase Item Qualification). Drive supplier performance improvement initiatives through data analysis, root cause identification, and action planning. Manage and resolve escalated quality issues through structured problem-solving processes like 8D. Conduct supplier process audits and risk assessments to identify improvement opportunities. Collaborate with global cross-functional teams to align supplier quality processes and ensure consistency. Provide training to suppliers on Whirlpool s quality systems, tools, and expectations, fostering a Zero Defect culture. Track, analyze, and report on supplier performance metrics such as SIR, PPM, and CAL. Participate in supplier qualification reviews and witness critical sample builds during new product launches. Champion Critical Parameters Management (CPM) to ensure focus on key product characteristics that impact performance and customer satisfaction. Education: Bachelor s degree in Mechanical Engineering (or related field). Experience: 7-10 years in Supplier Quality within Automotive, Home Appliances, or Consumer Durables industries. Technical Skills: Strong understanding of quality tools like APQP, PPAP, FMEA, SPC, MSA. Proficient in data analysis and statistical process control (SPC). Experience working directly with suppliers on quality improvement and new product launches. Certifications (Preferred): Six Sigma Green/Black Belt. Certified Quality Management Systems (QMS) Auditor. Soft Skills: Strong communication and relationship-building skills. Ability to collaborate across cultures and global teams. Analytical mindset with a proactive approach to problem-solving. Passion for driving quality excellence and continuous improvement. Work for a globally recognized Fortune 500 company. Collaborate with talented professionals from around the world. Be part of an innovative environment that values bold ideas and smart solutions. Enjoy a diverse and inclusive workplace where your voice matters. Contribute directly to products that improve life at home for millions. If you are passionate about quality, thrive in a collaborative environment, and are ready to drive supplier excellence in a globally respected organization, apply today! Qualification : Bachelors degree in Mechanical Engineering (or related field).

Position: Assistant Manager Injection Molding & Assembly Location: Pune, Maharashtra, India Employment Type: Full-Time Company: RENATA Precision Components Pvt. Ltd. Experience Required: 8 12 years Industry: Plastic Injection Moulding Automotive & Allied Sectors Company Overview RENATA Precision Components Pvt. Ltd. is a premier manufacturer of plastic injection moulded components, serving the automotive and other engineering industries. We are known for delivering precision-engineered solutions and maintaining a strong focus on quality, innovation, and operational excellence. Position Overview We are seeking an experienced and dynamic Assistant Manager Injection Molding & Assembly to oversee daily production operations, ensure effective resource utilization, and drive process improvements. The ideal candidate will possess strong leadership skills, deep technical expertise in plastic processing, and a proactive approach to quality and efficiency. Key Responsibilities Review monthly production schedules from PPC and develop detailed execution plans. Monitor raw material availability and coordinate with the stores team to avoid shortages. Plan and manage timely mold changes to ensure seamless production. Drive continuous improvement in production processes and overall equipment effectiveness (OEE). Maintain accurate documentation of production activities and ensure process traceability. Prepare and implement action plans for reducing rejection PPM and improving OEE metrics. Supervise machine operators and communicate mold loading schedules effectively. Coordinate emergency loadings and trial runs, ensuring minimal disruption to regular production. Promote harmony within the department and maintain strong inter-departmental relationships. Train teams on new products and processes introduced into production. Set and monitor targets for setup rejections and production efficiency. Allocate manpower based on daily production needs. Collaborate with the Production Planning & Control (PPC) team for effective scheduling. Ensure strict process conformity and adherence to standard operating procedures. Foster a strong culture of safety and 5S in all operations. Qualifications & Experience Diploma / B.E. in Mechanical Engineering, Plastic Processing, or from CIPET. 8 12 years of hands-on experience in injection molding and assembly operations, preferably in the automotive sector. Key Skills Sound knowledge of injection molding machines, mold setup, and processing parameters. Strong leadership and team management capabilities. Effective communication and coordination skills. Proficiency in MS Office tools (Word, Excel, PowerPoint, Email, Internet). Excellent troubleshooting and decision-making abilities. Results-driven with a focus on quality, efficiency, and continuous improvement. Be a part of a progressive manufacturing environment at RENATA, where innovation, quality, and teamwork are at the core of everything we do. We offer a structured growth path, competitive compensation, and the opportunity to contribute to world-class automotive manufacturing solutions.

Job Title: Assistant Manager Quality Location: Pune Department: Quality Assurance / Quality Control Experience Level: Minimum 7 Years Relevant Experience Business Unit: North America Business About Zetwerk Zetwerk is the world s largest global manufacturing network for custom manufacturing, transforming digital designs into physical products across a vast spectrum from steel pipes to aerospace engine components, metal bridges to consumer electronics. Serving both small businesses and Fortune 500 companies, Zetwerk connects customers with thousands of manufacturing partners skilled in metal fabrication, CNC machining, plastic injection molding, 3D printing, aluminum die casting, and more. Our technology-driven supply chain enables faster, cost-effective manufacturing with world-class quality and transparency. Through our proprietary Manufacturing Operating System (ZISO), we provide end-to-end visibility from order placement to final delivery ensuring seamless collaboration among product designers, manufacturers, quality inspectors, logistics providers, and other stakeholders. At Zetwerk, we believe in empowering game changers who want to shape the future of manufacturing. We offer an environment designed to fuel your career growth, foster innovation through collaboration, and connect you with leaders who inspire you to go beyond. Our inclusive culture supports you to thrive and make an impact every day. Role Overview As Assistant Manager Quality, you will play a pivotal role in ensuring the quality and reliability of heavy fabricated components and assemblies for our North America business. You will lead the implementation of QA/QC procedures, drive continuous improvement, and collaborate across teams to uphold stringent quality standards. Key Responsibilities Plan and execute QA/QC procedures and inspection protocols throughout fabrication and assembly stages. Develop, review, and approve Inspection Test Plans (ITPs), Work Instructions, and Quality Plans. Conduct in-process and final inspections for heavy fabricated components and assemblies. Perform detailed inspections of machined parts, verifying dimensional tolerances using precision measuring instruments. Review and approve surface treatment and painting processes in compliance with standards (e.g., SA 2.5 blast cleaning, DFT measurements). Lead root cause analysis (RCA) and coordinate corrective and preventive actions (CAPA) for quality issues. Evaluate supplier quality documentation and conduct incoming material inspections for castings, forgings, and fabricated items. Implement and maintain Core Quality Tools: FMEA, Control Plan, MSA, SPC, and PPAP, as applicable. Drive continuous improvement initiatives to reduce defects, rework, and improve overall quality performance. Travel to supplier locations across Pune and other regions to support quality assurance activities. Qualifications & Experience Bachelor s degree in Mechanical Engineering or related discipline. Minimum 7 years of experience in QA/QC roles, preferably in heavy fabrication or capital equipment manufacturing. Strong expertise in fabrication, welding, and machining inspection. Proficient with Core Quality Tools: FMEA, MSA, SPC, PPAP, and Control Plans. Working knowledge of quality management standards such as ISO 9001, IATF 16949, ASME, AWS. Hands-on experience with precision inspection instruments and interpreting engineering drawings and GD&T. Willingness to travel regularly to supplier sites. Join Zetwerk and be part of a revolutionary manufacturing ecosystem where your expertise drives quality and excellence at scale. Qualification : Bachelors degree in Mechanical Engineering or related discipline.

Position: Plant Quality Manager Level 3 Location: Pune Company: FORVIA A Global Leader in Sustainable Mobility About FORVIA At FORVIA, we lead the way in sustainable and advanced mobility technologies. As the world s 7th largest automotive supplier, we employ over 157,000 people in 43 countries, driving innovation in clean mobility, vehicle interiors, and smart technologies. Our mission is to deliver high-performance, environmentally responsible solutions that make mobility safer, more comfortable, and more connected. Your Mission As Plant Quality Manager, you will lead the implementation and execution of quality systems at the plant level, ensuring compliance with FORVIA s standards and customer requirements. You will play a pivotal role in driving continuous improvement, managing customer relationships, and ensuring quality excellence across all plant operations. Key Responsibilities Customer Focus: Act as the voice of the customer within the plant to ensure all expectations and requirements are met or exceeded. Quality Leadership: Define plant-level quality objectives and KPIs, track progress, and implement corrective and preventive actions as needed. System Compliance: Ensure the plant s Quality Management System aligns with the Faurecia Excellence System (FES), including adherence to relevant standards (IATF 16949, ISO 9001, etc.). Team Development: Structure, lead, and develop the plant quality organization to support operational needs and strategic objectives. Process Ownership: Monitor and improve quality processes, conduct audits, and manage risk across production, logistics, and engineering functions. Issue Resolution: Take proactive steps to stop production or delivery if quality risks are identified ensuring product integrity and customer satisfaction. Supplier Collaboration: Partner with Purchasing and Supplier Quality teams to resolve supplier-related quality issues and improve supplier performance. Regulatory Compliance: Ensure the plant complies with all applicable environmental, safety, and regulatory requirements. Performance Reporting: Maintain quality records and documentation, and report quality results to internal and external stakeholders. Your Profile Education & Experience Bachelor s degree in Engineering (Master s preferred). Minimum 5 years of experience in manufacturing, preferably within the automotive industry. Proven experience in managing customer relationships and leading cross-functional teams. Technical Competencies Strong knowledge of production quality systems and methodologies (e.g., APQP, PPAP, FMEA, 8D). Process-driven approach with a focus on root cause analysis and continuous improvement. Working knowledge of industry standards (IATF 16949, ISO 14001, ISO 45001, etc.). Soft Skills Strong leadership, communication, and decision-making abilities. Effective collaborator across departments and with external partners. Bi-lingual preferred (English required; French or German is a plus). High integrity with a commitment to FORVIA s ethical standards and management principles. Impactful Work: Contribute to the advancement of sustainable automotive technologies. Global Career Path: Access a world of opportunities across 40+ countries. Continuous Learning: Benefit from over 22 hours of annual training through FORVIA University and five global campuses. Diverse Culture: Thrive in a multicultural, inclusive environment that celebrates diversity and global collaboration. Sustainability Commitment: Join a company recognized as the first global automotive group certified by the SBTi Net-Zero Standard, with a clear commitment to reach CO Net Zero by 2045. We re more than a technology company we re a movement towards smarter, safer, and more sustainable mobility. Whether it s through clean powertrains, smart interiors, or circular economy initiatives, we are helping shape the future of transportation. Join us in making a lasting impact, not just in the automotive world, but for society as a whole. Qualification : Bachelors degree in Engineering (Masters preferred)

Position: Senior Data Scientist Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on revolutionizing the construction industry through advanced AI and ML solutions. Our Data Science and Analytics team comprises Data Scientists, AI Engineers, Data Analysts, and Data Engineers working collaboratively to drive innovation across all construction project phases from pre-construction to post-construction. Our mission is to harness the power of data and AI to improve predictability, automate processes, and enhance efficiency in construction domains such as scheduling, planning, supply chain, safety, quality control, site management, financials, and virtual design construction. Role Overview We are seeking a highly skilled Senior Data Scientist to lead the development of innovative AI and machine learning solutions focused on construction data. You will work on cutting-edge projects involving Computer Vision, Predictive Analytics, Generative AI, and Large Language Models (LLMs) using technologies such as MS Azure AI Services, OpenAI, and various ML frameworks. Key Responsibilities Collaborate strategically with cross-functional teams to identify and solve business problems through scalable AI/ML solutions. Analyze construction project data to develop predictive models using traditional methods and generative AI. Apply machine learning algorithms to enhance project execution, safety, risk assessment, and other core construction processes. Lead end-to-end development of scalable predictive and ML models, including hypothesis generation, development, deployment, and monitoring. Build, validate, and optimize machine learning and statistical models; review and quality control models developed by junior team members. Partner with engineering and business teams to deeply understand data, processes, and business requirements, and implement appropriate solutions. Stay updated on advances in data science and machine learning to continuously enhance vConstruct s capabilities. Use statistical techniques to detect anomalies and optimize workflows to ensure timely, cost-effective project delivery. Collaborate with product managers and business leaders to drive data-driven decision-making and communicate insights effectively. Visualize insights using BI tools to support stakeholders in understanding data outcomes. Key Projects Include Developing GPT-based language models customized for construction industry data (structured and unstructured). Utilizing computer vision for object detection on 2D drawings and 3D BIM models. Applying statistical frameworks to predict construction site losses, win/loss opportunities, and quantity forecasts. Integrating AI models deeply into construction operations to automate and improve efficiency. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-10 years of professional experience, including at least 6 years in data science, machine learning, and analytics. Proven track record of delivering impactful, production-ready AI/ML solutions. Experience managing multiple projects in fast-paced, dynamic environments. Strong business acumen with the ability to translate technical insights into actionable business strategies and communicate effectively with stakeholders. Experience with construction data or related industries (engineering, manufacturing) is a plus. Technical Skills Expertise in Python, R, or Scala programming. Proficiency with ML, AI, and statistical frameworks and libraries such as TensorFlow, PyTorch, scikit-learn. Strong experience in predictive analytics, clustering, classification, regression, and multivariate techniques. Hands-on experience with data visualization tools such as Tableau, Power BI, Matplotlib. Familiarity with cloud platforms (preferably Azure), Azure ML Services, and Snowflake is a plus. Strong SQL skills and experience working with relational databases. Knowledge of NLP and Computer Vision technologies is advantageous. If you re passionate about transforming the construction industry through AI/ML innovation and want to work with a talented, motivated team, apply now to join vConstruct s visionary journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients. Job Responsibilities Understanding & working experience towards patient analytics like patient journey, persistency, adherence, patient identification etc. Experience using various patient level data like APLD, EHR, patient registries etc. Can work across a variety of projects from advanced analytics, ad-hoc analysis and reporting. Strong in logical reasoning, structuring of analysis, asking the right questions and logical approach to analyse data, problems, and situations. Proficient in Microsoft Office suite. Teamwork and collaboration and can mentor junior associates. Articulate in communication written or verbal and able to convey ideas and information clearly to client or client facing teams. Willingness to learn and innovate. Experience in pharmaceutical sales and marketing analytics would be preferred. Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation. Effectively communicate with onshore/ client (as per business needs). Education Bachelor of Engineering in Others Bachelor Equivalent - Engineering Work Experience Overall 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills. Exhibit expertise on pharma real-world data like APLD, EMR, Prescription data, formulary data etc. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, etc using various data sources. Strong communication, project management, and storyboarding skills. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Experience in Pharma commercial analytics experience will be preferred. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python SQL EXCEL Machine Learning Pharma Commercial Know How Patient Data Analytics Know How Others

Job Overview As a Data Engineer II, you will provide accurate and pertinent data to support the Legal and Compliance departments. This role requires expertise in SQL, SAP BusinessObjects, and knowledge of Wholesale Distribution processes such as Customer Sales, Payments, Plant Receipts, and Returns. Your primary responsibilities include designing analytics models, maintaining data integrity, conducting root-cause analyses, and guiding data validation and quality control efforts. You will collaborate with various teams and stakeholders to address complex business challenges and deliver seamless, reliable data-driven solutions. Primary Responsibilities Business Analytics Support: Translate business needs into semantic data requirements and implement analytics enhancements. Data Mining & Insights: Identify growth opportunities, analyze pricing activities, and recommend profitability improvements. Data Integrity: Validate data sources, address inaccuracies, and ensure high data quality through automation and monitoring tools. Cross-Functional Collaboration: Work with Inside Sales, Finance, and Sourcing to develop forecasts and actionable insights. Data Analysis: Identify trends, conduct root-cause analyses, and assess the impact of operational policies and governance frameworks. Reporting: Develop and deliver performance reports, dashboards, and statistical analyses for internal and external stakeholders. Mentorship: Guide and train team members in using analytics tools and techniques to improve business decision-making. Experience & Skills Required Experience 4+ years in healthcare data analytics or data engineering. Essential Skills Proficiency in SAP and BusinessObjects. Strong background in Business Intelligence and data visualization. Deep understanding of distribution processes (purchases, sales, payments). Prior experience mentoring or coaching team members. Desired Skills Experience in pharmaceutical wholesale. Familiarity with tools like Microsoft Power BI or Tableau. Technical Skills Programming: Proficiency in SQL, R, Python. Data Management: Data modeling, governance, quality assurance, and advanced statistical analysis. Visualization Tools: Tableau, Power BI, Alteryx, QlikSense. Statistical Tools: SAS, SPSS. Microsoft Office Suite. Behavioral Skills Critical thinking and problem-solving. Detail-oriented with a strong ability to identify data anomalies. Effective time management and adaptability to new challenges. Strong interpersonal communication and learning agility. Be part of a team dedicated to innovation and creating healthier futures. Work in a collaborative and supportive environment. Develop your skills with opportunities for professional growth. Qualification : 4+ years of directly related experience in healthcare data analytics or data engineering.

Job Title: Senior QA Engineer Location: Pune Experience: 3-8 years Role Overview We are seeking an experienced Senior QA Engineer to take full ownership of the quality assurance process, ensuring the reliability, consistency, and high standards of our software products. You will work closely with development and testing teams, motivating and guiding team members, and driving QA excellence across the board. Key Responsibilities Monitor and manage all operations impacting product quality. Collaborate closely with development and testing teams to ensure quality goals are met. Lead, mentor, and motivate QA team members to foster growth and high performance. Validate processes and final outputs to assure product reliability and consistency. Report malfunctions and quality issues promptly to stakeholders for immediate resolution. Maintain detailed quality reports, statistical reviews, and related documentation. Take full responsibility for the entire QA process from planning through execution. Manage multiple tasks efficiently in a fast-paced environment. Skills & Qualifications Bachelor s or Master s degree in Computer Science, Information Technology, or related fields (BE, BTech, MTech, BCA, MCA, BSc IT, MSc IT). 3-8 years of proven experience in quality assurance. Strong experience in functional, system, and performance testing of enterprise/server-side software (beyond just UI/browser testing). Proficiency in both manual and automated testing. Hands-on experience with Selenium and programming languages such as Python or Java. Familiarity with Agile frameworks and regression testing is a plus. Working knowledge of Linux operating systems including software installation, troubleshooting, and debugging. Solid understanding of operating systems (Mac, Windows, Linux) and networking concepts. Excellent time management and multitasking abilities. Strong interpersonal and communication skills. Team player with the ability to work independently under minimal supervision. Good understanding of production workflows and software delivery processes. Join our team and help us deliver reliable, high-quality software products that make a difference! Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or related fields

Manager Market Research Location: Pune, Maharashtra Function: Marketing Experience: 7 8 Years Education: MBA (preferred with Engineering background) or Degree in Economics / Statistics Job Summary: We are seeking a strategic and data-driven Manager Market Research to lead research initiatives that inform BiofuelCircle s growth in the bioenergy sector. This role will focus on identifying new geographic and product opportunities, assessing industrial demand and rural supply, and generating actionable insights to support decision-making across functions. Key Purpose of the Role: To build and lead a market research function that supports geographic expansion, product diversification, and strategic decision-making through in-depth data analysis, customer insight, and competitor benchmarking. Key Responsibilities: Market Research Industrial Demand & Rural Supply Conduct primary (qualitative) and secondary (quantitative) research on biomass availability and biofuel demand Maintain district- and taluka-level datasets across Indian states for all operational and target regions Research crop production, harvesting practices, residue availability, and alternate applications Analyze industrial clusters using biomass/coal and identify platform adoption enablers and barriers Market Intelligence & Analysis Identify new demand and supply markets or clusters Perform gap analyses against existing operations Conduct on-ground validations based on crop seasons and geographies Customer Insights & New Product Development Run exploratory studies to support new product development and product-market fit assessments Design and implement surveys, dipsticks, and focus groups to gather customer insights Competitor & Market Landscape Analysis Monitor competitors offerings and go-to-market strategies Track emerging trends across the bioenergy and cleantech sectors External Agency Management Draft research briefs in coordination with product and business teams Select appropriate methodologies and manage external research vendors Ensure research deliverables are on-time, cost-efficient, and actionable Team Building & Leadership Build and lead an in-house research team Drive research process governance and ensure alignment with strategic business needs Policy Framework & Strategic Support Contribute to state-wise policy analysis for new products and geography expansion Support business planning for growth and diversification initiatives Ideal Candidate Profile: Industry Background: Experience in Energy, Cleantech, E-Commerce, or B2B Industrial sectors is preferred Deep understanding of the Indian market landscape Technical Competencies: Strong analytical and conceptual thinking Skilled in transforming complex data into strategic insights Capable of connecting insights across cross-functional teams Project governance and stakeholder alignment skills Communication & Interpersonal Skills: Excellent verbal and written communication Able to engage with a broad spectrum of stakeholders from rural micro-businesses to multinational corporations Soft Skills: Confident, assertive, and proactive Analytical mindset with the ability to lead and mentor a team Opportunity: Join a pioneering company in the bio-energy sector, driving sustainable transformation across India. This role offers a unique opportunity to work on high-impact projects while collaborating with a mission-driven and innovative team. Supervision & Collaboration: Reports to: Head of Marketing Works closely with: Product, Operations, Sales, Policy, and Strategic Planning teams Qualification : MBA (preferred with Engineering background) or Degree in Economics / Statistics

Job Overview: We are looking for a Quality Assurance (QA) Engineer with 3-8 years of experience to oversee and ensure the quality of our software products. In this role, you will work closely with development and testing teams to monitor and improve the quality of processes and outputs. You will be responsible for both manual and automated testing, ensuring the reliability and consistency of the product while fostering a high-performing team culture. Responsibilities: Monitor Quality Operations: Oversee all operations affecting quality and ensure processes are being followed effectively. Collaborate with Teams: Work closely with development and testing teams to ensure the software meets quality standards. Team Leadership & Guidance: Motivate and guide team members, helping them grow professionally and improving their performance. Ensure Product Quality: Check processes and final outputs to assure the reliability and consistency of the product. Issue Reporting: Report any malfunctions to stakeholders and ensure immediate corrective action. Maintain Documentation: Keep records of quality reports, statistical reviews, and other relevant documentation. Take Full Responsibility: Own the entire QA process, ensuring the software meets the highest standards throughout development. Skills Required: Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field (e.g., BE, BTech, MTech, BCA, MCA, BSc IT, MSc IT). Experience: 3-8 years of proven experience in quality assurance, specifically in functional, system, and performance testing of enterprise/server-side software. Testing Knowledge: Strong knowledge of manual and automated testing (Selenium, Python/Java). Agile Frameworks: Familiarity with Agile methodologies, including regression testing, is a plus. Technical Skills: Proficiency with Selenium and programming in Python or Java for test automation. User-level experience with Linux, including installing, troubleshooting, and debugging application software. A good understanding of OS (Mac, Windows, and Linux) and networking concepts. Multitasking & Time Management: Ability to handle multiple tasks simultaneously while maintaining a high level of organization. Fast-Paced Environment: Ability to thrive in a fast-paced environment with minimal supervision. Communication Skills: Excellent interpersonal and communication skills. Teamwork: Strong team player with a collaborative attitude. If you're passionate about ensuring the quality of products, have a strong background in testing and automation, and enjoy working in a dynamic team environment, we invite you to apply!

A Culture of Growth: At Ugaoo, we are GROWERS Growth-oriented, Resilient, Open-minded, Welcoming, Empathetic, and Responsible. These values guide everything we do. Here, your ideas are valued, and your career growth is a priority in a supportive environment. Room to Innovate: We thrive on innovation. If you re someone who enjoys taking ownership, stepping up, and challenging the status quo, Ugaoo is the perfect platform for you. We encourage calculated risks, creative thinking, and provide the space to continuously learn and grow. Performance-Driven Success: At Ugaoo, we celebrate results. Your hard work and dedication will be recognized, and your contributions will directly impact both the company s success and your personal growth. Kinship and Collaboration: Here, you re more than just an employee you re part of a collaborative team. We work together, celebrate together, and support each other every step of the way. The sense of community here is central to who we are. About the Opportunity: We are seeking a driven and innovative individual for a key role in overseeing the end-to-end process of bringing a new product to market, revitalizing an existing product, or introducing a product to a new market. This position will involve setting the product vision, collaborating across teams, and guiding the product strategy to success. Responsibilities: Define the product vision and strategy, and take ownership of its success. Lead the creative process for developing and curating new ideas and determine which should be advanced into features that drive product strategy forward. Define feature requirements and the desired user experience. Collaborate with cross-functional teams to transform customer and market insights into a clear, actionable product roadmap. Develop and execute product launch strategies, including marketing concepts and influencer collaborations, as well as communicating through marketplaces, websites, and social media. Conduct post-launch reviews to identify opportunities for process and product improvements. Act as a product evangelist, raising awareness and understanding of the product across teams and stakeholders. Develop pricing and positioning strategies that align with the product and brand identity. Lead the design and development of innovative, sustainable packaging solutions that align with both product and brand requirements. Evaluate and select vendors who meet Ugaoo s standards for quality, cost, and reliability. Research patents, copyrights, and trademarks to ensure compliance and avoid infringement issues. Requirements: An MBA from a reputed B-school. A passion for plants and gardening. Ability to utilize user insights, data, and statistical analysis to inform product decisions. Up-to-date knowledge of market and technology trends affecting new product development. Excellent communication, interpersonal skills, attention to detail, and the ability to think quickly under pressure. Who We re Looking For: We re seeking individuals who are ready to take the next step in their careers. If you are driven, eager to learn, and excited to take ownership of your work, Ugaoo is the perfect place for you. Join us, and let s grow together, because we believe Plants Grow People. Qualification : MBA from any reputed B-school

Job Title: Machine Learning Engineer Location: Pune Employment Type: Full-Time About the Role: We are seeking a Machine Learning Engineer with 1-3 years of hands-on experience to join our team. The ideal candidate will have proficiency in Python programming and a solid understanding of machine learning frameworks. You will work on building and deploying cutting-edge machine learning models and solutions, with a particular focus on computer vision and ML-Ops. Key Responsibilities: Develop Machine Learning Models: Build, train, and deploy machine learning models for various business applications. Computer Vision Solutions: Focus on building and deploying computer vision solutions at scale, leveraging frameworks like TensorFlow and OpenCV. Collaborate with Teams: Work with data scientists, software engineers, and other stakeholders to integrate machine learning solutions into products. Code Quality & Documentation: Write clean, maintainable, and readable code. Document your code and solutions for ease of understanding and future reference. Work with Data Pipelines: Understand and implement data pipelines for training machine learning models, ensuring data is pre-processed and transformed correctly. Version Control & Best Practices: Use Git and follow version control best practices to ensure collaboration and code integrity across the team. Machine Learning Frameworks: Implement machine learning algorithms using frameworks like TensorFlow, Keras, OpenCV, and other relevant libraries. ML-Ops: Familiarity with deploying machine learning models into production environments and managing their lifecycle. Minimum Qualifications: Experience: 1-3 years of experience as a Machine Learning Engineer or Data Scientist. Agile Development: Familiarity with the Agile development lifecycle and collaborative software development practices. Code Readability & Documentation: Ability to write clean, readable code and document your work thoroughly for future use and team collaboration. Third-Party Libraries & APIs: Experience in consuming third-party libraries and APIs to extend the functionality of your machine learning solutions. Version Control: Experience with Git and version control best practices. Data Pipelines: Understanding of data pipelines and how to handle data preprocessing, cleaning, and transformation for machine learning purposes. Core Python: Proficiency in Python programming and popular data science libraries (e.g., NumPy, Pandas, etc.). Machine Learning Frameworks: Knowledge of machine learning frameworks like TensorFlow and OpenCV. Preferred Qualifications: ETL Tools: Experience working with ETL (Extract, Transform, Load) tools and libraries to manage and preprocess data for machine learning. Computer Vision: Hands-on experience with computer vision tasks, especially with MaskRCNN for object detection and segmentation. ML-Ops: Knowledge of ML-Ops practices for deploying, monitoring, and maintaining machine learning models in production environments. Work on cutting-edge machine learning and computer vision projects. Collaborate with a talented, cross-functional team to solve real-world problems. Opportunity to grow your career in a dynamic and innovation-driven environment. Competitive compensation and benefits package. If you're passionate about machine learning, computer vision, and deploying scalable solutions, we'd love to have you on our team!

Position Summary This role will be responsible for developing commercial forecasts for pipeline and launching products as well as completing opportunity assessments for life cycle management. This role brings specific therapeutic area in-depth expertise, analytical instinct, strategic thinking, and project management skills to communicate the value assessment of new assets and flag appropriate risks and opportunities. Job Responsibilities The delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats. Build realistic, transparent, and assumption-driven demand forecasts. Challenge assumptions and apply forecasting methodologies to support the brand strategy. Prepare robust forecast assumptions leveraging expertise and analogs from the in-line Forecasting team and research from the Insights and Analytics team. Ensure objectivity of brand/therapeutic area forecasts by establishing objectives aligned around forecast accuracy. Developing brand volume forecasts, both short-term and long-term, to feed into strategic and operational planning processes. Support launch preparations and guide the teams to set up clear post-launch performance tracking by creating and monitoring the short-term revenue forecasts, comparable to actuals in the future, and recommending adjustments when applicable. Consistent delivery of analytics that drive informed decision-making, including the definition and development of models to be used in answering business and operational questions. Adopting and executing new and innovative analytics offerings for untapped opportunities; Enabling automation of routine measurements. Supports client strategy to ensure business and compliance needs are met. Coordinate and manage subordinates, facilitate interdepartmental communication, and allocate tasks and resources as needed. Guide and advise the modeling and capabilities team as a Subject Matter Expertise on various technologies, solutions, and capabilities to help set up industry-leading practice. Education BE/B.Tech Work Experience 7-12 years of experience in Experience working with Life Sciences companies in pharmaceutical forecasting (in branded business)/ data analytics; experience supporting both pipeline and marketed product(s) preferred; experience in Specialty or Rare Disease, preferred. Expertise with a variety of modeling techniques including statistical, patient-flow, simulations, agent-based and other systems dynamics-based techniques. Manage & develop patient/epidemiology-based forecasting models for pharma clients. Project Manager who can lead enablement of global life sciences companies to manage forecasting and/or data & analytics function through Axtria solutions and innovative methodologies. EPI based Forecasting for Inline, Pipeline, and BD&L Products/ Brands. Trend-Based Forecasting Experience. Experience supporting multiple markets globally, Region, and countries. A deeper understanding of disease and Therapy Areas and their application to forecast. Expertise in handling datasets - IQVIA, Evaluate, IPD, Kantar, DRG etc. Proven experience working with pharmaceutical datasets (Rx, APLD, etc). Effective forecast storyboarding, capturing key insights backed by relevant data and Quantitative Analytics, Business Analysis and Analog Analysis. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Attention to P&L Impact Business development Capability Building / Thought Leadership Scale of revenues managed / delivered Scale of Resources Managed Qualification : BE/B.Tech

Position Summary We are seeking a seasoned thought leader to lead our Decision Science and Commercial Analytics team. This role will be responsible for developing commercial forecasts for pipelines and launching products, as well as completing opportunity assessments for lifecycle management. You will leverage deep therapeutic area expertise, analytical instincts, strategic thinking, and project management skills to communicate the value assessment of new assets while identifying risks and opportunities. Job Responsibilities Client & Stakeholder Management: Manage client and onshore stakeholder relationships to ensure successful business delivery, aligning with business needs. Collaboration with Project Managers: Work closely with project managers to define the algorithm, break down the problem into actionable steps, and execute the analysis. Project Scoping & Solution Design: Lead project scoping, solution design, and execution, ensuring effective communication of analysis in client-ready formats. Demand Forecasting: Build realistic, transparent, and assumption-driven demand forecasts. Challenge assumptions and apply forecasting methodologies to support brand strategy. Forecast Assumptions: Prepare robust forecast assumptions by leveraging expertise and analogs from the Forecasting team and insights from the Insights and Analytics team. Forecast Accuracy: Establish objectives to ensure objectivity in brand and therapeutic area forecasts, focusing on forecast accuracy. Brand Volume Forecasting: Develop both short-term and long-term brand volume forecasts to support strategic and operational planning processes. Launch Support & Post-Launch Tracking: Support launch preparations and guide teams in setting up post-launch performance tracking. Create and monitor short-term revenue forecasts, adjust when necessary, and compare against actuals. Data-Driven Decision-Making: Deliver consistent analytics that drive informed decision-making. Define and develop models to answer critical business and operational questions. Education Bachelor's Degree (BE/B.Tech) Master of Business Administration (MBA) Work Experience 15+ years of experience working with Life Sciences companies in pharmaceutical forecasting and data analytics. Experience supporting both pipeline and marketed products is preferred; Specialty or Rare Disease experience is a plus. Expertise in various modeling techniques such as statistical modeling, patient-flow models, simulations, agent-based modeling, and systems dynamics. Proven experience in patient/epidemiology-based forecasting models for pharmaceutical clients. Strong project management skills, with the ability to lead the enablement of global life sciences companies in forecasting and analytics functions through innovative solutions. Extensive experience in EPI-based forecasting for inline, pipeline, and BD&L products/brands. Expertise with pharmaceutical datasets (e.g., IQVIA, Evaluate, IPD, Kantar, DRG, Rx, APLD, etc.). Experience working across multiple markets globally with a deep understanding of disease and therapy areas and their application to forecasting. Technical Competencies Life Sciences Knowledge Project Management Pharmaceutical Forecasting Expertise Attention to P&L Impact Business Development Capability Building & Thought Leadership Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership & Accountability Cultural Fit Talent Management Additional Information: This position requires a dynamic individual with a deep understanding of pharmaceutical forecasting, analytics, and project management. You will play a key role in supporting product and brand strategies with insightful, data-driven forecasting models and contribute to the growth and success of global life sciences clients. Qualification : Bachelor's Degree (BE/B.Tech)

Campaign Performance Analysis: Analyze the effectiveness of media campaigns across digital, social, programmatic, and traditional media platforms. Track key performance indicators (KPIs) such as impressions, click-through rates (CTR), cost-per-click (CPC), cost-per-acquisition (CPA), and return on ad spend (ROAS). Perform in-depth analysis of media data to identify trends, opportunities, and areas for improvement. Reporting & Insights: Prepare detailed reports and dashboards to communicate media performance to client stakeholders. Provide recommendations on how to optimize campaigns based on data insights, A/B testing results, and market trends. Collaborate with the media buying and planning teams to provide insights that influence media strategy. Budget & Spend Analysis: Monitor media spend across campaigns and ensure alignment with allocated budgets. Identify opportunities for cost efficiencies and performance improvements. Assist in forecasting media spend based on historical data and future trends. Cross-Channel Attribution: Utilize multi-touch attribution models to evaluate the contribution of various media channels (search, display, social, etc.) to overall campaign performance. Help improve the media attribution process to ensure proper credit is given to each channel. Media Research & Competitor Analysis: Stay up to date with industry trends, new tools, and best practices in media analytics. Conduct competitor media analysis to understand market positioning and media strategies of competitors. Identify emerging platforms and channels for potential investment based on research. Collaboration & Stakeholder Management: Work closely with media planners, buyers, and digital marketing teams to ensure alignment of media strategy with business objectives. Provide clear and concise data-driven recommendations to both technical and non-technical stakeholders. Essential Skills & Experience Experience: 2-4 years of experience in media analysis, digital marketing analytics, or a related field. Technical Proficiency: Strong knowledge of digital marketing platforms such as Google Ads, Facebook Ads, and programmatic buying platforms. Proficiency in using analytics tools like Google Analytics, Adobe Analytics, or similar platforms. Experience with data visualization tools (e.g., Tableau, Power BI, or similar) to present insights effectively. Familiarity with Excel and SQL for data manipulation and analysis. Analytical Skills: Strong ability to analyze complex data sets, derive actionable insights, and communicate findings effectively. Detail-Oriented: Ability to handle multiple data points with precision, ensuring the accuracy and integrity of reports. Communication: Excellent written and verbal communication skills, with the ability to explain data insights to non-technical stakeholders. Desirable Skills & Experience Experience with advanced analytics techniques such as predictive modeling or marketing mix modeling (MMM). Understanding of media buying processes and digital advertising ecosystems. Certification in Google Analytics, Facebook Blueprint, or other relevant platforms.

Position: Associate Data Science Engineer Location: Pune, Maharashtra Work Type: Full Time Minimum Experience: 1 2 Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Image Processing About the Role We are looking for a self-driven Associate Data Science Engineer to join our fast-growing Data & AI Practice. You will work on cutting-edge AI technologies and cloud-native solutions, helping build intelligent, high-impact products for our global clients. If you're passionate about AI/ML, Computer Vision, NLP, Generative AI, and developing scalable AI applications, this role is for you. What You Will Work On Contribute to the design, development, and deployment of AI-powered features and solutions. Collaborate with Product Management to translate business problems into AI/ML use cases. Build applications leveraging Computer Vision, NLP, Deep Learning, and Gen AI technologies. Develop and present functional prototypes, demos, and POCs. Stay current with the latest tools, frameworks, and research in ML, DL, and Gen AI. Participate in end-to-end project lifecycles from analysis to monitoring. What You Bring (Must-Have Skills) 1+ years of experience delivering AI/ML solutions through complete project lifecycle. Strong grasp of Linear Algebra, Statistics, and Probability. Proficiency in Python and data science libraries such as Pandas, NumPy, SciPy, scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace, spaCy, CoreNLP. Experience with Deep Learning models for Computer Vision and Object Detection. Solid knowledge of Generative AI, LLMs, and tools such as LangChain, LlamaIndex, Prompt Engineering. Strong analytical thinking, problem-solving ability, and effective communication. Great If You Also Know Experience with RAG frameworks, Function Calling, Agentic Frameworks, or Vector Search. Familiarity with cloud services: AWS (preferred), Azure, or Google Cloud Platform. Building APIs using FastAPI, async programming, and REST principles. Understanding of CI/CD, Docker/Kubernetes, and cloud-native deployment pipelines. Exposure to MLOps / LLMOps: versioning, tuning, deployment, and monitoring of models. Comfort with data visualization tools and practices. Agile development experience (Scrum, Kanban, etc.). Startup culture, small teams, and a high degree of autonomy. Work on next-gen technologies in AI, ML, GenAI, and cloud computing. Remote working options based on experience and maturity. Competitive salary and family-friendly benefits. Clear, performance-based career growth path. About Cognologix Cognologix helps businesses reimagine and innovate through modern data and cloud-native solutions. With a strong focus on data science, automation, and intelligent applications, we partner with organizations to deliver cutting-edge products in the most efficient and scalable ways. We thrive in a fast-paced, tech-first environment where innovation meets execution.

Operations Research Scientist Location: Pune, India About Aera Technology Aera Technology is a leading Decision Intelligence company, empowering enterprises to operate with greater efficiency, intelligence, and sustainability. Our cutting-edge platform, Aera Decision Cloud , seamlessly integrates with existing systems to digitize, augment, and automate decision-making in real time. Trusted by some of the world's most recognized brands, Aera delivers millions of AI-driven recommendations that drive significant revenue growth and cost savings. Role Overview We are seeking an exceptional Operations Research Scientist to join our team in Pune, India. In this role, you will work on challenging mathematical optimization applications, leveraging data science and advanced optimization modeling techniques. You will play a key role in developing analytical strategies and models to enhance efficiency and cost-effectiveness across various operational domains. Key Responsibilities Analyze and solve complex operational problems related to planning, pricing, and supply chains using data-driven approaches. Design, implement, test, and deploy robust optimization algorithms for real-world applications. Develop large-scale linear and integer programming models, heuristic solutions, and efficient optimization techniques. Collaborate closely with solution delivery teams to promote and implement optimization-driven strategies. Work directly with customers and engagement leaders to support live projects and deliver impactful solutions. Qualifications & Skills Bachelor s degree in a quantitative field such as Applied Mathematics, Computer Science, Operations Research, Industrial Engineering, or a related discipline. 10-15 years of relevant experience in mathematical optimization, data modeling, or operations research. Strong expertise in optimization methods and solvers (e.g., CPLEX, Gurobi, COIN-OR). Proficiency in Python and experience working with large-scale data environments. Ability to work proactively in a remote-friendly environment without requiring micromanagement. Technical Environment Cloud Infrastructure: AWS Operating System: Linux Big Data & Analytics: Spark Programming Language: Python At Aera Technology, we foster an innovative and collaborative workplace that enables employees to grow and thrive. As part of our global team, you will work on cutting-edge technologies and drive impactful solutions for some of the world s top enterprises. We offer: Competitive compensation and company stock options. A dynamic, flexible, and remote-friendly work environment. Opportunities for professional growth and continuous learning. Equal Opportunity Employer Aera Technology is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran status, or disability status. Join us and be a part of building a smarter, more sustainable future! Qualification : Bachelors degree in a quantitative field such as Applied Mathematics, Computer Science, Operations Research, Industrial Engineering, or a related discipline.