3811 Data Science Jobs - Page 35

Role & responsibilities We are seeking a talented and self-motivated Data Science and Analytics Individual Contributor to join our Vehicle Technology team. This role is perfect for a highly skilled professional who excels in data science, data visualization, Python programming, and the creation of data pipelines for ETL (Extract, Transform, Load) processes. The individual in this position will play a pivotal role in shaping our data-driven decision-making processes and contributing to the success of the company. 1. Data Analysis and Exploration: Conduct thorough data analysis to uncover actionable insights and trends. Collaborate with cross-functional teams to define data requirements and extract relevant data. 2. Data Visualization: Create visually compelling and informative data visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Develop interactive dashboards to present insights in an accessible and understandable manner. 3. Machine Learning and Predictive Modeling: Build, validate, and deploy machine learning models to solve business problems and predict outcomes. Optimize and fine-tune models for accuracy and efficiency. 4. Python Programming: Develop and maintain Python scripts and applications for data analysis and modeling. Write clean, efficient, and well-documented code for data manipulation and analytics. 5. ETL Pipeline Creation: Design and implement ETL pipelines to extract, transform, and load data from various sources into data warehouses. Ensure data quality, consistency, and accuracy within ETL processes. Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations. Collaborate with IT and Data Engineering teams to optimize data storage and access. Work closely with cross-functional teams to understand business requirements and provide data-driven solutions. Effectively communicate findings and insights to both technical and non-technical stakeholders. Preferred candidate profile Proven experience in data science, data analysis, and predictive modeling. Proficiency in Python programming, data manipulation, and relevant libraries. Strong experience with data visualization tools (We prefer Power BI). Knowledge of ETL processes and pipeline creation. Familiarity with machine learning techniques and frameworks. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with SQL and database management. Knowledge of CANBus protocol is a plus

SUMMARY About the Company Our client is a leading IT Technology & Services Management MNC, dedicated to providing state-of-the-art IT solutions to millions of internal and external customers. As part of a major insurance group based in Germany and Europe, the company is committed to digital innovation in the insurance landscape. With a global presence in 26 countries and a focus on Europe and Asia, the company offers a comprehensive range of insurances, pensions, investments, and services, leveraging cutting-edge technologies such as Cloud, Digital, Robotics Automation, IoT, Voice Recognition, and Big Data science. Role Position: Sr. Mainframe Developer Experience: 7 - 10 years Budget: 22-23 LPA Location: Hiranandani Garden, Powai Candidates willing to relocate to Mumbai only need to apply Role & Responsibilities: Adhere to security and control, and change control processes Design, develop and maintain Mainframe COBOL and IMS code to meet support and/or project requirements. Interface with business and IT teams to understand business requirements and translate business requirements into formal technical requirements and application code. Work with IT support teams (DBA, server teams) to ensure support and project requirements are developed and successfully implemented Develop and execute unit test and integration plans/scripts to validate that application changes meet technical specifications. Responsible for an important part of the full System Development Life Cycle Work with business team to complete acceptance testing and participate in integration testing Participate in production support/ duty rotation including weekend and off-hour support coverage Provide Solution Delivery Methodology artefacts associated with application components. Participate in technical reviews at appropriate stages of development Technical Stack: COBOL IMS as transaction manager DB2 with SQL JCL IT technical background & mainframe programming experience Experience in all components of software delivery with concentration in requirements, design and development. Quick starter to troubleshoot/resolve incidents and business support items Strong analytical and problem solving skills Ability to multi-task effectively Prioritize Business Impact and Urgency Perform application support tasks like: systems support, security reviews, & maintenance tasks Testing experience Ability to learn new technologies and methodologies quickly

Job Description : Role: Sr. Analyst Shift Timings: 1.30PM to 10.30PM Location: Mumbai & Gurugram Summary: Job synopsis: As a Data Scientist, you will develop and present analytics to support decision-making for the business, internal stakeholders, and leadership. Your responsibilities will include predictive modelling, managing large datasets and creating visually appealing, insightful presentations and reports that effectively communicate information to diverse audiences. Additionally, you will collect, analyse, and interpret complex data to gain insights and assist with informed business decisions. Principal Duties/Responsibilities: Gain a comprehensive understanding of the process and data flow. Acquire in-depth knowledge of the reports provided by GB Outsourcing. Create analytics and reports for insurers to enable strategic decision-making based on various facts, figures, and trends. Develop analytics for internal stakeholders and provide regular feedback. Work with the business to develop new products and evaluate their impact. Additionally, collaborate with stakeholders to understand their needs and provide data-driven insights to inform decision-making. Translate analytical insights into strategic recommendations and effectively communicate them to both technical and non-technical stakeholders. Adapt to a fast-changing environment, switching priorities as needed while producing high-quality and accurate reports. Innovate by proposing and implementing ideas for new reports and process simplification Qualifications : Tech (coding) Graduate or Post-Graduate in Data Science Experience : 2-3 years of experience in analytics profile with working knowledge to predictive analytics preferably Technical Competencies: Experience in SQL, R, Python, with VBA optional Working knowledge on capabilities of Gen AI Background in Computer Science & Statistics preferred. Data Analysis and Interpretation Skills: • Impactful written and verbal communication • Strong team player • Business acumen • Problem-solving, quantitative, and analytical skills • Logical thinking • Highly self-driven in managing your own portfolio and assigned responsibilities with accuracy. • Technical competency to do complex work independently. • Ability to prioritize tasks and meet project deadlines

Your Role and Responsibilities 3+ years of experience in a Data Science, machine learning or a related field. Strong hands-on experience in Machine Learning and Statistics focusing on structured and unstructured data problems. Practical experience in several of the following areas: time series forecasting, clustering and classification techniques, regression, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet Excellent programming skills preferably in Python/Py spark and SQL Understanding of developing, implementing, deploying machine learning models on the cloud platforms(Azure, AWS, GCP) by using AWS/Azure Machine Learning, Data bricks, or other relevant cloud services Integrate machine learning models into existing systems and applications, ensuring seamless functionality and data flow Understanding of developing and maintaining MLOps pipelines for automated model training, testing, deployment, and monitoring Understanding of monitoring and analysing model performance, providing reports and insights to stakeholders as needed Familiarity with data processing and storage tools, such as SQL, Hadoop, or Spark Advanced engineering abilities to deliver flexible and scalable end-to-end machine learning solutions. Exposure to data visualization software and packages (Power BI, Tableau, matplotlib, d3) Understands challenges in business area, applicability of relevant data science disciplines, and system interactions. Excellent written and verbal communication skills, confidence in presenting ideas and findings to stakeholders, and ability to do so at the right level of detail. Required Technical and Professional Expertise Engineering Graduate from a reputed institute and/or Masters in Statistics, MBA 3+ years of Data science experience Strong expertise and deep understanding of machine learning. Strong understanding of SQL & Python. Knowledge of Power BI or Tableau is a plus Exposure to Industry specific (CPG, Manufacturing) use cases is required Strong client-facing skills Must be organized and detail oriented. Excellent communication and interpersonal skills Preferred Technical and Professional Experience Strong foundation in Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.). Proficiency in Ensemble Learning (Random Forest, Gradient Boosting, XGBoost, LightGBM, etc.). Experience in fine-tuning Large Language Models (LLMs) and working with open-source models (Llama, GPT, BERT, etc.). Familiarity with Prompt Engineering, RAG (Retrieval-Augmented Generation), and Fine-tuning techniques. Hands-on experience with Cloud Platforms (AWS, GCP, Azure) for ML model deployment. Familiarity with MLOps and Model Deployment using Kubernetes, Docker, and MLflow.

3+ Years of experience in Data Scientists with Python, Tensorflow and Pytorch. Experience in AI techniques (e.g., machine learning, predictive analytics. optimization, semantic analysis, time-series analysis) to real-world problems

Role Overview : As a Senior Data Analyst at Hevo, you will leverage your SQL skills and analytical expertise to manage, process, and report data, driving insights across the organization. You will focus on reporting, forecasting, and presenting key metrics to business leaders while collaborating with stakeholders to support strategic decision-making. Key Responsibilities Query large datasets using SQL to extract and manipulate data. Maintain and optimize databases on the data warehouse. Prepare and present weekly business reviews (WBRs), forecasts, and track key metrics. Drive analytics projects related to customer funnels and lead acquisition, uncover insights, and report findings to leadership. Collaborate with cross-functional teams to execute WBRs and track follow-up actions. Lead and manage end-to-end analytics projects with minimal oversight and mentor junior team members. Continuously challenge and improve metrics by aligning them with industry standards. What are we looking for 3-6 years of experience in a quantitative analyst role (preferably in B2B SaaS, growth analytics, or revenue operations). Proficiency in SQL and experience working with large datasets. Experience using Tableau, Looker, or similar tools to create dashboards and report insights. Strong communication skills, with the ability to present data to both technical and non-technical audiences. Bonus: Experience with executive or rev ops reporting. Ability to manage multiple projects simultaneously and drive deliverables with minimal oversight. Key elements needed to succeed in this role Attention to detail Diagnosing the problem Continuous learning mindset Ability to solve complex, open-ended problems

Cross Sell Owner Exp 6-10 Location Bangalore What is Muthoot FinCorp ONE Muthoot FinCorp ONE, is a fintech startup, building a financial ecosystem where customers can access relevant and reliable digital services across an expansive range of digital financial products in segments like Lending, Saving & Investment, Protection, and Remittance. Our products are designed to ensure a simple, reliable, and responsive financial environment for our customers. Envisioned to be the most trusted financial service provider, our app has an easy-to-use interface aimed to enhance user experience and comfortable navigation. Our promoter, Muthoot FinCorp Ltd., is one of the most reputed names in the Fintech industry and has the customers trust in diverse segments like Financial Services, Automotive, Hospitality, Alternate Energy, Real Estate, and Precious Metals. In our quest to build teams across diversified domains, we recently acquired Paymatrix, an award-winning start-up founded in 2016. It has helped us venture into rent and rent-related payments and other vendor payments using credit cards. Currently, we are working on transforming Paymatrix into a Virtual POS platform. Muthoot FinCorp ONE believes in an ownership driven startup culture, where cumulative success is paramount, and each team member is valued and nurtured. What can you expect Build the future, Today - Build for scale in an ever-expanding marketplace Attractive compensation with wealth- building ESOPs - Attractive salaries and benefits Perks & other benefits - Wholesome well-being and personal satisfaction Work with the brightest minds in the industry - Premium colleges, great pedigree and amazing teams Dynamic work environment: Stable yet exciting - Constant challenges that test the best in you Fast-paced growth - Wide exposure, and terrific mentors to accelerate professional growth Responsibilities of the Cross Sell Owner This role will be responsible for unlocking growth opportunities across the organisation via cross-sell improvement and will work in close coordination with business heads and their teams. The individual will also, work with marketing, product, analytics and technology managers to improve journeys, data visibility and targeting for higher conversions. Day to Day Responsibilities: Strategy Development Develop and lead the implementation of a comprehensive cross-sell strategy that aligns with the company s overall sales and revenue goals. Identify key products and services suitable for cross-selling and create targeted initiatives to promote them. Program Management Collaborate with marketing, product, and sales teams to develop and execute integrated cross-sell campaigns. Monitor and evaluate the performance of cross-sell initiatives, adjusting strategies as needed to achieve desired outcomes. Customer Insights and Analytics Work with data science teams to create profiles for targeting by product type Work with data science and analytics teams to build a deeper understanding of funnels and success metrics Ensure timely MIS-based reporting to all stakeholders Collaboration, Integration and Innovation Liaise with business owners to understand requirements and create the right programs Interact with data engineering teams to create the right pipelines for lead gen and MIS reporting across businesses Work with product teams to improve the lead generation journeys Who is the right fit for this MBA/ equivalent qualification from a Tier 1 school BTech/ equivalent qualification 5-8 years of experience with sales, marketing, business development Prior experience in banks, Fintechs, or large NBFCs will help Strong data analytics skills with the ability to translate data into actionable insights Proficiency in customer relationship management (CRM) systems and marketing automation/ CLV tools

Collaborating with business analysts and stakeholders to gather and understand business rules and requirements. 2. Designing and implementing business rules using a Business Rule Engine System (BRE) or other relevant technologies. 3. Developing and maintaining rule sets, ensuring they are well-documented, efficient, and aligned with business goals. 4. Testing rules to ensure they function as intended and meet business requirements. 5. Integrating business rules into existing software systems and applications. 6. Providing guidance and support to developers and other team members on rule engine best practices and usage. 7. Monitoring and optimizing rule performance and efficiency. 8. Collaborating with cross-functional teams to identify and implement opportunities for rule improvement and automation. In addition to technical skills in rule engine tools and technologies, a Business Rule Engine expert should have strong analytical, problem-solving, and communication skills. They should also be familiar with business process modelling and have a good understanding of the business domain they are working in. 9. Support the DTCE team in the various operational activities such as stake holder communication, follow-up, Data Science & Data modelling activities using programming skills. 10. Support the DTCE team as per the strategical plans of the organisation.

Collaborating with business analysts and stakeholders to gather and understand business rules and requirements. 2. Designing and implementing business rules using a Business Rule Engine System (BRE) or other relevant technologies. 3. Developing and maintaining rule sets, ensuring they are well-documented, efficient, and aligned with business goals. 4. Testing rules to ensure they function as intended and meet business requirements. 5. Integrating business rules into existing software systems and applications. 6. Providing guidance and support to developers and other team members on rule engine best practices and usage. 7. Monitoring and optimizing rule performance and efficiency. 8. Collaborating with cross-functional teams to identify and implement opportunities for rule improvement and automation. In addition to technical skills in rule engine tools and technologies, a Business Rule Engine expert should have strong analytical, problem-solving, and communication skills. They should also be familiar with business process modelling and have a good understanding of the business domain they are working in. 9. Support the DTCE team in the various operational activities such as stake holder communication, follow-up, Data Science & Data modelling activities using programming skills. 10. Support the DTCE team as per the strategical plans of the organisation.

Responsibilities: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Determine and refine machine learning objectives. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Ensuring that algorithms generate accurate user recommendations. Verifying data quality, and/or ensuring it via data cleaning. Supervising the data acquisition process if more data is needed. Defining validation strategies. Defining the pre-processing or feature engineering to be done on a given dataset Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Deploying models to production. Documenting machine learning processes. Keeping abreast of developments in machine learning. Preferred candidate profile Bachelor's degree in computer science, data science, mathematics, or a related field. Knowledge as a machine learning engineer. Proficiency with a deep learning framework such as TensorFlow, XgBoost, Wavevnet, Keras, numpy. Advanced proficiency with Python, Java, and R code writing. Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture in ANN, CNN, RNN with LSTM. Ability to select hardware to run an ML model with the required latency In-depth knowledge of mathematics, statistics, and algorithms. Superb analytical and problem-solving abilities. Great communication and collaboration skills. Excellent time management and organizational abilities. Benefits of working with OptimEyes 1 . Remote work opportunity ( work from home)2. Work opportunity with a top-notch team, cutting-edge technology, and leadership of extremely successful experts.3. Monthly Bonus along with Salary4. Yearly Bonus Role & responsibilities Preferred candidate profile Role & responsibilities Preferred candidate profile

AbyM Technology is looking for Python Developer to join our dynamic team and embark on a rewarding career journey Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Integrating user-facing elements using server-side logic. Assessing and prioritizing client feature requests. Integrating data storage solutions. Reprogramming existing databases to improve functionality. Developing digital tools to monitor online traffic. Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical solutions.

Data ScientistAbout the RoleWe are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The ideal candidate will have experience working with Python, AWS Bedrock, and SageMaker. The successful applicant will be responsible for deploying AI applications on AWS, utilizing AWS databases, and working with MLOps for model training, evaluation, and deployment. Key Responsibilities Develop and implement machine learning models using Python.Utilize AWS Bedrock and SageMaker for AI model development and deployment.Deploy AI applications on AWS cloud infrastructure.Work with AWS databases to manage and manipulate data.Incorporate MLOps practices for model training, evaluation, and deployment.Collaborate with cross-functional teams to integrate AI solutions into existing systems.Ensure the security and compliance of AI applications within the AWS cloud environment. RequirementsBachelors or Masters degree in Computer Science, Data Science, or a related field.4-9 years of relevant experience in Data Science.Proficiency in Python programming.Experience with AWS Bedrock and SageMaker.Strong understanding of deploying AI applications on AWS.Knowledge of AWS databases and data management practices.Familiarity with MLOps for model training, evaluation, and deployment.Good to haveOverall knowledge of AWS cloud services.Understanding of cybersecurity principles and best practices.

Location : Airoli , Navi Mumbai Work from Office Office Time : 11am to 8pm Skillset Requirements: Experience: 5-10 years in data science Programming: Minimum 5 years in Python Machine Learning/NLP: At least 4 years LLM & GenAI: Minimum 1.5 years with large language models and generative AI Database Management: At least 2 years with any database Cloud Deployment: 1+ years deploying ML models/Python apps on Azure or AWS LLMOps: Familiarity is a plus Role and Responsibilities: Leadership: Lead development, deployment, and optimization of ML, NLP, and LLM/GenAI solutions Pipeline Development: Develop and maintain Python-based ML pipelines; manage associated databases Model Deployment: Deploy AI models on Azure/AWS, ensuring performance and scalability Mentorship: Stay updated on ML, NLP, and GenAI advancements; mentor team members Best Practices: Implement LLMOps best practices for efficient model lifecycle management

About this role: AI-focused Software Development position responsible for the architecture, implementation, design, and deployment of algorithms and Python based applications to help fulfill our Research & Consulting Delivery strategy. What you ll do: Establish methodologies for quickly rolling out new data analysis capabilities for standalone data-driven products and services to support our associates using AI, ML, and LLMs. Lead architecture and technical design discussions to ensure data science solutions align with the organizations strategic objectives. Continuously improve models through experimentation and optimization techniques. Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning and natural language processing Use a combination and quantitative (science) and qualitative (art) methodologies to prioritize AI initiatives. Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption. Create Data Science packages and APIs for use across the organization Mentor junior members of the team on effective technical practices and non-technical acumen Be accountable for the scalability, stability, and business adoption of data science solutions What you ll need: 6-9 years of experience in algorithms and statistics and experience in data mining, machine learning, deep learning and natural language processing. Ability to provision packages and APIs for production data science code. Must have: Education qualification as graduate or postgraduate degree in Engineering or Data Science is required. Experience in Machine learning models and techniques like NLP, BERT, Transformers, Deep learning. Experience using LLMs (e.g., OpenAI, Cohere, Anthropic, Llama, etc) to deliver business outcomes. Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption. Demonstrated ability to translate quantitative analysis into actionable business strategies. Ability to work collaboratively across business, data science and technical stakeholders. Who you are Graduate/Postgraduate in BE/B tech, ME/MTech or MCA are preferred. Excellent communication and prioritization skills. Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment Owns success - Takes responsibility for successful delivery of the solutions. Ardent desire to improve upon their skills in software development, frameworks, and technologies.

Immediate joiners to max 15 days only Work Location: Hyderabad 5 days work from office No. of positions: 5 Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. Proven experience as a Data Scientist with 4-5 years of hands-on experience. Strong proficiency in Python programming, machine learning model development, and GenAI integration. Expertise in machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Knowledge of MLOps practices, including model versioning and containerization. Excellent data analysis and problem-solving skills with attention to detail. Effective communication and collaboration skills. Data Analytics view , Analytical Thinking, Data Slicing, Data Engineering. Select the right model and present the findings & justification / documentation of the findings - PPT / Other ways of doing Plan his own work / day Additional Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure, GCP). Familiarity with big data technologies (e.g., Apache Spark, Hadoop). Knowledge of deep learning techniques and neural networks. Previous involvement in end-to-end machine learning lifecycle projects with GenAI components If Interested please reach mounika.tungala@coforge.com Total Exp : Rel Exp : ctc : Exp ctc : Notice : current location : Ready to work from office : any offers : ready for inperson Interview :

We are looking for a skilled Senior Data Architect with 15 to 20 years of experience to lead our data warehousing function, setting the vision and direction for driving actionable insights across revenue, subscriptions, paid marketing channels, and operational functions. This role is based in Remote. Roles and Responsibility Define and execute the long-term strategy for our data warehousing platform using medallion architecture and modern cloud-based solutions. Oversee end-to-end pipeline design, implementation, and maintenance for seamless integration with business intelligence tools. Champion best practices in data modeling, including the effective use of DBT packages to streamline complex transformations. Establish rigorous data quality standards, governance policies, and automated validation frameworks across all data streams. Develop frameworks to reconcile revenue discrepancies and unify validation across Finance, SEM, and Analytics teams. Implement robust monitoring and alerting systems to quickly identify, diagnose, and resolve data pipeline issues. Lead, mentor, and grow a high-performing team of data warehousing specialists, fostering a culture of accountability, innovation, and continuous improvement. Partner with RevOps, Analytics, SEM, Finance, and Product teams to align the data infrastructure with business objectives, serving as the primary data warehouse expert in discussions around revenue attribution and paid marketing channel performance. Translate complex technical concepts into clear business insights for both technical and non-technical stakeholders. Oversee deployment processes, including staging, QA, and rollback strategies, to ensure minimal disruption during updates. Regularly assess and optimize data pipelines for performance, scalability, and reliability while reducing operational overhead. Lead initiatives to transition from legacy on-premise systems to modern cloud-based architectures for improved agility and cost efficiency. Stay abreast of emerging trends and technologies in data warehousing, analytics, and cloud solutions. Propose and lead innovative projects to enhance our data capabilities, with a particular focus on predictive and prescriptive analytics. Represent the data warehousing function in senior leadership discussions and strategic planning sessions. Job Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. Proven track record in designing and implementing scalable data warehousing solutions in cloud environments. Deep experience with medallion architecture and modern data pipeline tools, including DBT (and DBT packages), Databricks, SQL, and cloud-based data platforms. Strong understanding of ETL/ELT best practices, data modeling (logical and physical), and large-scale data processing. Hands-on experience with BI tools (e.g., Tableau, Looker) and familiarity with Google Analytics, and other tracking systems. Solid understanding of attribution models (first-touch, last-touch, multi-touch) and experience working with paid marketing channels. Excellent leadership and team management skills with the ability to mentor and inspire cross-functional teams. Outstanding communication skills, capable of distilling complex technical information into clear business insights. Demonstrated ability to lead strategic initiatives, manage competing priorities, and deliver results in a fast-paced environment.

Looking for Siemens Eda Ambassadors: Member Of Technical Staff Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. We Are Not Looking for Superheroes, Just Super Minds Weve got quite a lot to offer. How about you? Qualifications: Youre a Graduate / Postgraduate (Bachelors/Masters) in EEE) / ECE/Computer Science (CS) from top reputed Engineering colleges with significant experience in software development. Experience in EDA will be a great plus. Your sound understanding of C/C++ languages, design patterns along with data structure and algorithms will be key to development of software. Your good knowledge of Graph will enhance the development time. Must have ability to understand complex products, solutions, and problems Self-motivated, self-discipline, with high integrity Team person who is easy to talk to This role is in Noida, where youll get the chance to work with teams impacting entire cities, countries and the craft of things to come. This is dynamic environment where the learning curve is very high.

We are looking for a skilled ML-Ops (AI/ML Ops/Kubernetes) Engineer with 6 to 10 years of experience. The ideal candidate will have a strong background in machine learning and operations, with expertise in AI/ML ops and Kubernetes. Roles and Responsibility Design and implement scalable data pipelines using AI/ML techniques. Collaborate with cross-functional teams to develop and deploy machine learning models. Develop and maintain large-scale data architectures using Kubernetes. Ensure seamless integration of machine learning models into existing systems. Troubleshoot and resolve complex technical issues related to AI/ML and Kubernetes. Implement automated testing and deployment scripts for efficient workflow management. Job Strong understanding of machine learning concepts and algorithms. Experience with AI/ML frameworks such as TensorFlow or PyTorch. Proficiency in programming languages such as Python or Java. Experience with cloud platforms such as AWS or Azure. Knowledge of containerization using Docker and orchestration using Kubernetes. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. About Company Apptad Technologies Pvt Ltd. is an employment firm that provides recruitment services to various industries. We focus on matching top talent with the right opportunities, and we are committed to delivering exceptional results.

We are looking for a skilled Delivery Ops Lead - IT Staffing with 6 to 12 years of experience in IT staffing and recruitment. The ideal candidate will have a strong background in managing teams and delivering results-driven solutions. This position is based in Ranchi, Noida, or remotely from Bengaluru. Roles and Responsibility Manage and lead a team of recruiters specializing in IT staffing, focusing on roles such as Cloud Architecture, Data Science, SAP, IDMC, Data Bricks, and more. Perform extensive calling and vetting of profiles to ensure alignment with client requirements. Manage end-to-end recruitment processes, from sourcing to placement, ensuring high-quality candidates are provided. Utilize ATS (Applicant Tracking System) and various job portals to source candidates effectively. Leverage headhunting techniques to find and recruit top talent for niche skill sets. Screen and evaluate candidates to ensure they meet the required qualifications and experience for each role. Foster a collaborative work environment with clients and internal teams to ensure seamless recruitment operations. Ensure excellent communication with clients, candidates, and internal teams for smooth coordination throughout the hiring process. Job Minimum 6 years of experience in IT staffing and recruitment across various domains. In-depth knowledge of Cloud Architecture, Data Science, SAP, IDMC, Data Bricks, Embedded/VLSI, and other related technologies. Proven track record of managing and mentoring a team in the domestic IT staffing domain. Excellent communication, interpersonal, and organizational skills. Experience working with ATS and various recruitment portals. Strong experience in headhunting and sourcing for specialized IT roles. Ability to handle a fast-paced work environment and meet recruitment targets effectively. Previous experience working in the Cloud, SAP, Embedded/VLSI, and Data Science domains is preferred. Hands-on experience with IT staffing tools and platforms. Strong team management experience with a results-driven approach.

We are looking for a skilled Data Scientist with 7 to 10 years of experience to join our team in Gurgaon. The ideal candidate will have expertise in designing, developing, and deploying scalable AI/ML solutions for Big Data. Roles and Responsibility Design and develop scalable AI/ML solutions for Big Data using Python, SQL, TensorFlow, PyTorch, Scikit-learn, and Big Data ML libraries. Deploy AI/ML models and manage Big Data pipelines on cloud-based services such as GCP, AWS, or Azure. Extract actionable insights from large datasets and apply statistical methods to drive business growth. Communicate complex findings effectively to both technical and non-technical audiences through data visualization skills. Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. Develop and maintain large-scale data systems and architectures to support business intelligence and analytics. Job Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related field. Proven experience with cloud-based Big Data services for AI/ML model deployment and Big Data pipelines. Strong proficiency in programming languages such as Python, SQL, and experience with data modeling, warehousing, and ETL in Big Data contexts. Ability to work with large datasets, apply statistical methods, and communicate complex findings effectively. Experience with data visualization tools and techniques to communicate complex data insights. Strong analytical and problem-solving skills, with the ability to think critically and outside the box.

We are looking for a skilled Senior IT Recruiter with 5 to 7 years of experience in IT recruitment, specifically within domains such as Cloud Architecture, Data Science, SAP, IDMC, Data Bricks, VLSI/Embedded, and other technical roles. The ideal candidate will have a strong background in managing both subcontracting and full-time employee models. Roles and Responsibility Lead end-to-end recruitment processes for various IT roles, focusing on Cloud Architecture, Data Science, SAP, IDMC, Data Bricks, VLSI/Embedded, and other technical roles. Conduct extensive calling and profile screening to ensure the best fit for client requirements. Utilize Applicant Tracking Systems (ATS) and other portals to source, manage, and track candidate pipelines effectively. Perform headhunting to identify and engage passive candidates for specialized roles. Manage both subcontracting and full-time employee models for IT staffing. Ensure successful closures and meet recruitment targets by understanding client needs and delivering the right candidates. Job Minimum 5 years of experience in IT recruitment, preferably in Cloud Architecture, Data Science, SAP, IDMC, Data Bricks, VLSI/Embedded, or other technical roles. Strong experience working in IT staffing for both subcontracting and full-time employment models. Proficiency in ATS systems and various recruitment portals is required. Headhunting skills for identifying and sourcing niche talent are essential. A strong understanding of GSI accounts and their recruitment requirements is necessary. Proven track record of meeting recruitment targets and successfully closing positions. Excellent communication skills are needed to engage with candidates, clients, and internal teams. Knowledge of the latest trends in IT staffing and technology recruitment is expected.

We are looking for a highly skilled and experienced BA / Data Analyst to join our team in Hybrid-Bangalore or Chennai. The ideal candidate will have 7 to 10 years of hands-on experience in Data Analysis, Python, and Excel. Roles and Responsibility Analyze complex data sets to identify trends and patterns. Develop and maintain databases and data systems for business intelligence. Create reports and dashboards using Python and Excel. Collaborate with cross-functional teams to drive business growth. Design and implement data analysis solutions to meet business needs. Ensure data quality and integrity by implementing data validation checks. Job Strong proficiency in Python programming language. Experience with Excel and data analysis tools. Excellent problem-solving skills and attention to detail. Ability to work in a fast-paced environment and meet deadlines. Strong communication and collaboration skills. Ability to analyze large datasets and extract insights. A graduate degree is required for this position. About Company Apptad Technologies Pvt Ltd. is an employment firm that provides recruitment services to various industries. We are committed to providing high-quality services to our clients and candidates. The selected candidate will be working on a contractual basis for the first 6 months.

We are looking for a skilled Data Analyst with 4 to 8 years of experience to join our team in Gurugram. The role involves analyzing data, creating data models, and communicating insights to stakeholders. Roles and Responsibility Analyze complex data sets to identify trends and patterns. Develop and maintain databases and data systems for data storage and management. Create data models to support decision-making processes. Communicate insights and findings to stakeholders through reports and presentations. Collaborate with cross-functional teams to drive business growth. Utilize analytical skills, data analytics, statistics, and data modeling daily. Job Strong proficiency in Python, PySpark, and SQL. Experience with data modeling and analysis. Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Excellent communication and interpersonal skills. Ability to work in a fast-paced environment and meet deadlines. Strong problem-solving skills and attention to detail.

We are seeking a highly skilled ETL/Data Engineer with expertise in Informatica DEI BDM to design and implement robust data pipelines handling medium to large-scale datasets. The role involves building efficient ETL frameworks that support batch .

About Godrej Industries Limited Group (GIG ) Godrej Industries Group (GIG), is a vibrant group of listed Godrej companies. It has a clear focus on Chemicals, FMCG, Real Estate, Agriculture and Financial Services, a set of diverse industries, most of which are defining new India s growth story. At GIG we seek to achieve this growth through fostering an inspiring place to work, while inculcating shared value through a philosophy of Good & Green . As a part of GIG, Godrej Industries Group (GIG) is in the business of oleo-chemicals, surfactants, finance & investments, and estate management. In the past few years, the group has also focused on increasing its global footprint in developing economies like Latin America, Indonesia and Africa through its FMCG arm Godrej Consumer Products Limited (GCPL) . GCPL is a leader among the Indian-born FMCG companies with leading Household and Personal Care Products. The real estate arm, Godrej Properties Limited (GPL) brings the group s philosophy of innovation and excellence to the real estate industry. It aims to deliver superior value to all stakeholders through extraordinary and imaginative spaces created out of deep customer focus and insight. The agri-business arm Godrej Agrovet Ltd (GAVL) of GILAC is dedicated to improving the productivity of Indian farmers by innovating products and services that sustainably increase crop and livestock yields. The company operates in animal feed, oil palm, agri inputs, hybrid seeds, and poultry in which it is a leader. Godrej Capital (GC) is the vertical that aims to finance your dreams. We understand what s important to you, and taking the Group s legacy of trust, we bring to you financial solutions to secure your future, creating moments of joy. www.godrejgroup.com Designation : AI Engineer AI Lab Location: Mumbai, India Job Purpose As an AI Engineer in the Godrej AI Lab, you will play a key role in developing and experimenting with AI and GenAI solutions to solve business problems. This role is deeply technical but also exploratory in nature. You will be responsible for testing feasibility, building prototypes, running experiments, and co-creating solutions with both internal teams and external partners. Your work will directly contribute to evaluating new use cases, scaling successful pilots, and embedding AI into our business workflows. All solutioning, prototyping, testing, and development will be anchored by you making this a highly engaging and interesting role at the heart of real-world AI delivery Roles & Responsibilities: Build, test, and iterate on AI and GenAI solutions using industry-standard tools and platforms. Anchor technical components of AI use cases from experimentation to solution deployment. Collaborate with managers, internal tech teams, and external partners to co-develop POCs and scalable solutions. Conduct feasibility assessments and support decision-making through rapid experimentation. Translate abstract business problems into model-ready formats, including data preparation and feature engineering. Work on GenAI components such as prompt design, LLM integration, and retrieval-augmented generation (RAG). Maintain clean, well-documented code and version control practices. Integrate solutions with APIs and backend systems as needed, in partnership with engineering teams. Support model evaluation, optimization, and iterative improvement cycles. Contribute to the AI Labs internal knowledge-sharing and tooling base Educational Qualification: Bachelor s or Master s in Computer Science, Engineering, or a related technical field. Experience: 4 6 years of hands-on experience in AI/ML, GenAI, or applied data science roles. Experience building or experimenting with AI solutions in practical business settings. Exposure to collaborative delivery with tech teams or solution partners. Skills: Strong proficiency in Python and libraries like Pandas, NumPy, scikit-learn, PyTorch, TensorFlow. Experience with GenAI APIs (OpenAI, PaLM, Hugging Face) and vector databases (e.g., Pinecone, FAISS). Working knowledge of prompt engineering, LLMs, RAG, and LangChain-style pipelines. Comfortable with code versioning (Git), API-based integration, and cloud environments (GCP, AWS, Azure). Ability to think critically, test hypotheses, and learn rapidly through experimentation. Good collaboration skills and attention to clean, modular code An inclusive Godrej Before you go, there is something important we want to highlight. There is no place for discrimination at Godrej. Diversity is the philosophy of who we are as a company. And has been for over a century. It s not just in our DNA and nice to do. Being more diverse - especially having our team members reflect the diversity of our businesses and communities - helps us innovate better and grow faster. We hope this resonates with you. We take pride in being an equal opportunities employer. We recognise merit and encourage diversity. We do not tolerate any form of discrimination on the basis of nationality, race, colour, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status and ensure equal opportunities for all our team members. If this sounds like a role for you, apply now! We look forward to meeting you.