5453 Data Science Jobs - Page 18

You will be joining a global team dedicated to protecting, healing, and nurturing in the pursuit of a cleaner, healthier world. As part of the Information Technology & Digital department, you will play a vital role in championing cyber security, leveraging technology to enhance business operations, and utilizing data to drive innovation in consumer products. Your main responsibilities will include leading the evolution of Reckitt South Asia's data stack, managing data integrity and confidentiality, collaborating with cross-functional teams to integrate analytics solutions, applying mathematical and statistical principles along with AI/ML algorithms to tackle business challenges, staying updated on industry trends, and ensuring adherence to global guidelines as a regional product manager for data solutions. We are looking for a data scientist & analytics lead with 3-6 years of experience in consumer goods/ durables/ retail/ food & beverages/ electronics industry, proficient in Python and relevant libraries/frameworks, experienced in data modeling, visualization, and building/managing data pipelines, possessing strong problem-solving skills, and the ability to manage multiple stakeholders and drive initiatives. Key skills required for success in this role include Data Science, Analytics, Power BI, statistical Analytics, Predictive Analytics, ML, NLP, FMCG, Mix Market Modelling, and Customer Segmentation. We offer a supportive environment that values inclusion and individual growth, where your potential and unique qualities are recognized and appreciated. If you are passionate about leveraging data to drive business value and are excited about contributing to a cleaner, healthier world, we encourage you to apply even if you do not meet every requirement listed in the job description. Your potential and fit with our company culture are equally important to us.,

The role at GMP offers you the opportunity to be part of a high-growth team with a global footprint. As a Data Insights and Analysis professional, your responsibilities will include summarizing key data-driven insights for the senior leadership team to drive better outcomes, recommending new metrics and strategies to enhance operational and quality metrics, and utilizing your deep understanding of economic concepts to drive the financial strategy. You will act as an ambassador for data-driven decision-making within the company, ensuring that insights are shared and acted upon across departments. Your problem-solving and communication abilities will be put to the test as you diagnose issues, clean and analyze data, and provide visualization and presentations. Recognizing and adopting best practices in reporting and analysis will be crucial, as well as taking initiatives to improve the quality and efficiency of internal reports and streamline analysis processes. Additionally, you will be responsible for liaising between functional teams such as Customer Success, Sales, Finance, and Tech, building and maintaining strong customer relationships, and delivering engaging customer demos. Providing live, on-call support to executives and addressing technical issues promptly will be part of your role. To excel in this position, you should have at least 5 years of experience in Business Intelligence, Data Science, or Analytics, preferably in a product-based tech start-up environment. A solid understanding of data modeling, PostgreSQL, relational databases, R or Python, business intelligence tools (e.g., Tableau, Power BI, Looker, Metabase), Advanced Excel, VBA, and statistical analysis techniques is essential. You should be able to develop and optimize SQL queries and stored procedures, implement best practices for database development, and optimize database performance to support complex analytical queries. Project Management and process improvement experience would be highly beneficial. Effective communication skills and the ability to facilitate discussions at the executive level are also important. If you are looking for a challenging yet rewarding opportunity in a fast-paced environment, apply for this job to join GMP's dynamic team.,

As a Data Scientist in our organization, you will be responsible for various key tasks to drive the efficiency and effectiveness of our data analytics systems. Your primary duties will include data mining utilizing cutting-edge methods, improving data collection processes to incorporate relevant information for building analytic systems, and ensuring the accuracy and cleanliness of data utilized for analysis. Additionally, you will be expected to perform ad-hoc analysis and present the results in a clear and concise manner. Developing automated anomaly detection systems and continually monitoring their performance will also be part of your role. You will be involved in selecting features, constructing, and optimizing classifiers using machine learning techniques to enhance our data analysis capabilities. Moreover, you will play a crucial role in defining and documenting architecture, capturing non-functional requirements, preparing estimates, and proposing technical solutions. Providing technical leadership to project teams, guiding activities from design to deployment, performing reviews, and resolving technical issues will also be part of your responsibilities. Your role will require analyzing complex business and competitive issues to determine the impact on systems support. You will be tasked with evaluating the technical and economic feasibility of proposed data solutions. Creating and managing a machine learning pipeline, from data acquisition to model execution, will be essential to your position. Furthermore, you will engage in projects with significant implications for the business and future architecture, addressing cross-technology issues. Communicating technical information effectively to various audiences and leading organizational planning for data model and architecture will be vital aspects of your responsibilities. Interacting with customers to understand their operations better, reviewing and advising on business case analyses, and developing interdependencies between major applications are integral parts of your role. Providing project leadership, advice, and guidance on complex aspects of application development and system integration will also be expected from you. Basic qualifications for this role include a Bachelor's Degree or equivalent experience, seven or more years of relevant experience, a deep interest in digital technology, and proficiency in Python. You should have a track record of architecting and delivering highly available backend systems and experience working in development teams with varying levels of seniority. Desired qualifications include experience with common data science toolkits, proficiency in machine learning techniques, familiarity with data visualization tools, and experience with NoSQL databases. Your ability to thrive in agile environments, take initiative, and continuously learn and adapt to new technologies will be highly valued in this position.,

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Noida Location-3rd Aug 2025(Sunday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Noida Date of drive- 3rd Aug 2025(Sunday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

Role & responsibilities Mandatory skills: Python, Gen AI, traditional ML, core Data scientist Position Overview We are seeking an experienced Senior Full Stack AI/ML Engineer to join our dynamic team. This role combines deep technical expertise in traditional statistics, classical machine learning, and modern AI with full-stack development capabilities to build end-to-end intelligent systems. You'll work on revolutionary projects involving generative AI, large language models, and advanced data science applications. Key Responsibilities AI/ML Development & Data Science: Design, develop, and deploy machine learning models ranging from classical algorithms to deep learning for production environments Apply traditional statistical methods including hypothesis testing, regression analysis, time series forecasting, and experimental design Build and optimize large language model applications including fine-tuning, prompt engineering, and model evaluation Implement Retrieval Augmented Generation (RAG) systems for enhanced AI capabilities Conduct advanced data analysis, statistical modeling, A/B testing, and predictive analytics using both classical and modern techniques Research and prototype cutting-edge generative AI solutions Traditional ML & Statistics: Implement classical machine learning algorithms including linear/logistic regression, decision trees, random forests, SVM, clustering, and ensemble methods Perform feature engineering, selection, and dimensionality reduction techniques Conduct statistical inference, confidence intervals, and significance testing Design and analyze controlled experiments and observational studies Apply Bayesian methods and probabilistic modeling approaches Full Stack Development: Develop scalable front-end applications using modern frameworks (React, Vue.js, Angular) Build robust backend services and APIs using Python, Node.js, or similar technologies Design and implement database solutions (SQL/NoSQL) optimized for ML workloads Create intuitive user interfaces for AI-powered applications and statistical dashboards MLOps & Infrastructure: Establish and maintain ML pipelines for model training, validation, and deployment Implement CI/CD workflows for ML models using tools like MLflow, Kubeflow, or similar Monitor model performance, drift detection, and automated retraining systems Deploy and scale ML solutions using cloud platforms (AWS, GCP, Azure) Containerize applications using Docker and orchestrate with Kubernetes Collaboration & Leadership: Work closely with data scientists, product managers, and engineering teams Mentor junior engineers and contribute to technical decision-making Participate in code reviews and maintain high development standards Stay current with latest AI/ML trends and technologies Required Qualifications Experience & Education: 7-8 years of professional software development experience Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Machine Learning, Data Science, or related field 6+ years of hands-on AI/ML experience in production environments Technical Skills: Programming: Expert proficiency in Python, strong experience with JavaScript/TypeScript, R is a plus Traditional ML: Scikit-learn, XGBoost, LightGBM, classical algorithms and ensemble methods Statistics: Hypothesis testing, regression analysis, ANOVA, time series analysis, experimental design, Bayesian inference Statistical Tools: Experience with R, SAS, SPSS, or similar statistical software packages Deep Learning: TensorFlow, PyTorch, neural networks, computer vision, NLP LLM Experience: Working with GPT, Claude, Llama, or similar models; experience with fine-tuning and prompt engineering RAG Implementation: Vector databases (Pinecone, Weaviate, Chroma), embedding models, semantic search Data Science: Pandas, NumPy, statistical analysis, data visualization (Matplotlib, Plotly, Seaborn), feature engineering Full Stack: React/Vue.js, Node.js/FastAPI, REST/GraphQL APIs Databases: PostgreSQL, MongoDB, Redis, vector databases MLOps: Docker, Kubernetes, CI/CD, model versioning, monitoring tools Cloud Platforms: AWS/GCP/Azure, serverless architectures Soft Skills: Strong problem-solving and analytical thinking Excellent communication and collaboration abilities Self-motivated with ability to work in fast-paced environments Experience with agile development methodologies Preferred Qualifications Experience with causal inference methods and econometric techniques Knowledge of distributed computing frameworks (Spark, Dask) Experience with edge AI and model optimization techniques Publications in AI/ML/Statistics conferences or journals Open source contributions to ML/statistical projects Experience with advanced statistical modeling and multivariate analysis Familiarity with operations research and optimization techniques

Responsibilities: * Teach Computer Science subjects for Engineering students * Conduct research in computer science fields * Collaborate with industry partners * Publish academic papers * Advise students on IT careers Cafeteria Job/soft skill training Office cab/shuttle Accidental insurance Annual bonus Performance bonus Referral bonus Leave encashment Maternity leaves Career break/sabbatical

Job Role: Data Scientist / AI Solution Engineer India contractor Band Level: NA Reports to: Team Leader/Manager Preferred Location : Gurugram, Haryana, India Work Timings: 11:30 am 08 pm IST - Implement Proof of Concept and Pilot machine learning solutions using AWS ML toolkit and SaaS platforms - Configure and optimize pre-built ML models for specific business requirements - Set up automated data pipelines leveraging AWS services and third-party tools - Create dashboards and visualizations to communicate insights to stakeholders - Document technical processes and knowledge transfer for future maintenance Requirements - Bachelor s degree in computer science, Data Science, or related field - 1-3 years of professional experience implementing machine learning solutions. -We can entertain someone who is fresh graduate with significant work in AI in either internship or projects - Demonstrated experience with AWS machine learning services (SageMaker, AWS ML Services, and understanding of underpinnings of ML models and evaluations.) - Proficiency with data science SaaS tools (Dataiku, Indico, H2O.ai, or similar platforms) - Working knowledge of AWS data engineering services (S3, Glue, Athena, Lambda) - Experience with Python and common data manipulation libraries - Strong problem-solving skills and ability to work independently Preferred Qualifications - Previous contract or work experience in similar roles - Familiarity with API integration between various platforms - Experience with BI tools (Power BI, QuickSight) - Knowledge of cost optimization techniques for AWS ML services - Prior experience in our industry (please see company overview)

Gryphon technology pvt ltd 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.

METRO Global Solution Center IN is looking for Manager - Data Science & AI to join our dynamic team and embark on a rewarding career journey Delegating responsibilities and supervising business operations Hiring, training, motivating and coaching employees as they provide attentive, efficient service to customers, assessing employee performance and providing helpful feedback and training opportunities. Resolving conflicts or complaints from customers and employees. Monitoring store activity and ensuring it is properly provisioned and staffed. Analyzing information and processes and developing more effective or efficient processes and strategies. Establishing and achieving business and profit objectives. Maintaining a clean, tidy business, ensuring that signage and displays are attractive. Generating reports and presenting information to upper-level managers or other parties. Ensuring staff members follow company policies and procedures. Other duties to ensure the overall health and success of the business.

Job Summary: We are seeking a highly experienced and innovative AI/ML Engineer to lead the design, development, and deployment of scalable machine learning solutions. The ideal candidate will have deep expertise in Python, Apache Spark, MLOps, and cloud platforms (GCP and AWS), along with experience in distributed query engines like Trino. You will play a key role in building intelligent systems that drive business value through data science and machine learning. Job Summary: We are seeking a highly experienced and innovative AI/ML Engineer to lead the design, development, and deployment of scalable machine learning solutions. The ideal candidate will have deep expertise in Python , Apache Spark , MLOps , and cloud platforms (GCP and AWS), along with experience in distributed query engines like Trino . You will play a key role in building intelligent systems that drive business value through data science and machine learning. Key Responsibilities: Design and implement scalable ML pipelines using Spark , Python , and MLOps best practices. Develop, train, and deploy machine learning models in production environments. Collaborate with data scientists, data engineers, and product teams to translate business problems into ML solutions. Optimize model performance and ensure reproducibility, versioning, and monitoring using MLOps tools and frameworks. Work with Trino and other distributed query engines for efficient data access and feature engineering. Deploy and manage ML workloads on GCP and AWS , leveraging services like SageMaker, Vertex AI, BigQuery, and EMR. Implement CI/CD pipelines for ML workflows and ensure compliance with data governance and security standards. Mentor junior engineers and contribute to the development of best practices and technical standards. Required Skills: Strong programming skills in Python with experience in ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Expertise in Apache Spark for large-scale data processing. Solid understanding of MLOps practices including model versioning, monitoring, and deployment. Experience with Trino or similar distributed SQL engines (e.g., Presto, Hive). Hands-on experience with GCP (e.g., Vertex AI, BigQuery) and AWS (e.g., SageMaker, S3, Lambda). Familiarity with containerization (Docker) and orchestration (Kubernetes). Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Preferred Qualifications: Master s or PhD in Computer Science, Data Science, or a related field. Experience with feature stores, model registries, and ML observability tools. Knowledge of data privacy, security, and compliance in ML systems. Contributions to open-source ML or data engineering projects. Impact Youll Make: NA This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Sr Developer, Applications Development

;:" Your responsibilities The Senior Data Scientist will lead the development of data-driven solutions by leveraging traditional data science techniques and recent advancements in Generative AI to bring value to ADM. The role is integral to the Digital & Innovation team, driving rapid prototyping efforts, collaborating with cross-functional teams, and developing innovative approaches to solve business problems. This position requires a blend of expertise in traditional machine learning models, data science practices, and emerging AI technologies to create value and improve business outcomes. Key Responsibilities: Lead end-to-end machine learning projects, from data exploration, modeling, and deployment, ensuring alignment with business objectives. Utilize traditional AI/data science methods (e.g., regression, classification, clustering) and advanced AI methods (e.g., neural networks, NLP) to address business problems and optimize processes. Implement and experiment with Generative AI models based on business needs using Prompt Engineering, Retrieval Augmented Generation (RAG) or Finetuning, using LLM\u0027s, LVM\u0027s, TTS etc. Collaborate with teams across Digital & Innovation, business stakeholders, software engineers, and product teams, to rapidly prototype and iterate on new models and solutions. Mentor and coach junior data scientists and analysts, fostering an environment of continuous learning and collaboration. Adapt quickly to new AI advancements and technologies, continuously learning and applying emerging methodologies to solve complex problems. Work closely with other teams (e.g., Cybersecurity, Cloud Engineering) to ensure the successful integration of models into production systems. Ensure models meet rigorous performance, accuracy, and efficiency standards, performing cross-validation, tuning, and statistical checks. Communicate results and insights effectively to both technical and non-technical stakeholders, delivering clear recommendations for business impact. Ensure adherence to data privacy, security policies, and governance standards across all data science initiatives.

Key Skill Required: Skilled in Playwright for UI test automation across browsers. Experience with BDD using Cucumber for business collaboration. Integrated test scripts with CI/CD and analyzed test results. Proficient in Core Java, Selenium, JUnit, and TestNG. Hands-on with REST Assured, Maven, and Docker. Knowledge of hybrid frameworks and defect reporting.

Bachelor s or master s degree in computer science, Data Science, Engineering, or a related field. EsyCommerce is seeking a highly experienced Data Engineer to join our growing team in either Mumbai or Pune. This role requires a strong foundation in data engineering principles, coupled with experience in application development and data science techniques. The ideal candidate will be responsible for designing, developing, and maintaining robust data pipelines and applications, as well as leveraging analytical skills to transform data into valuable insights. This position calls for a blend of technical expertise, problem-solving abilities, and effective communication skills to drive data-driven solutions that meet business objectives.

Do you enjoy constantly learning and using new technologies? Would working with cutting-edge security products excite you? Join our cutting-edge Application & API Security Product team Our Application & API Security Product team works with companies to shape their digital security strategies. Playing a key role influencing societies across the globe. As a team we are dedicated to innovation. We consistently provide secure web experiences across deployment models. this reduces risk, improves security, allows customers to run their web presence reliably, positively and securely. Partner with the best In this role, you will use your vision, experience & develop leading App & API Security solutions. Youll help define the customer roadmap, requirements and capabilities to ensure successful team collaboration to deliver results. As a Product Manager Senior, you will be responsible for: Shaping the product strategy, roadmap and managing execution against the product plan Gathering, documenting business and technical requirements based on customer interaction, market and results-oriented research and technology trends. Interacting with customers and external analysts to communicate the product vision Leading cross-functional teams including engineering, threat research/data science, sales/marketing to execute feature prototypes and production capabilities. Analyzing operational metrics and trends to manage and maximize product KPIs and revenue Do what you love To be successful in this role you will: Have 6+ years of experience and a Bachelors degree or equivalent with 5 years of PM experience Have an understanding of Product Management principles and experience of the product life-cycle delivery process Have an understanding of web security and web development technologies and experienced in Cyber Security Be willing to learn new technologies and get stuck in to deliver the best results Demonstrate confidence in communication skills and be willing to participate in presentation information to various stakeholders Be tenacious and able to advocate the customers voice within the organization Build your career at Akamai Our ability to shape digital life today relies on developing exceptional people like you. The kind that can turn impossible into possible. We re doing everything we can to make Akamai a great place to work. A place where you can learn, grow and have a meaningful impact. With our company moving so fast, it s important that you re able to build new skills, explore new roles, and try out different opportunities. There are so many different ways to build your career at Akamai, and we want to support you as much as possible. We have all kinds of development opportunities available, from programs such as GROW and Mentoring, to internal events like the APEX Expo and tools such as Linkedin Learning, all to help you expand your knowledge and experience here. Learn more Not sure if this job is the right match for you or want to learn more about the job before you apply? Schedule a 15-minute exploratory call with the Recruiter and they would be happy to share more details.

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. About the Role We are looking for a highly motivated and skilled Senior Data Scientist or Data Scientist to join our team. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis, with hands-on experience in Python and industry-standard libraries. You will be responsible for deriving actionable insights, building predictive models, and effectively communicating findings through data storytelling. Key Responsibilities Develop, implement, and optimize machine learning models for predictive analytics and decision-making. Work with structured and unstructured data to extract meaningful insights and patterns. Utilize Python and standard data science libraries such as NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, and Matplotlib for data analysis and model building. Design and develop data pipelines for efficient processing and analysis. Conduct exploratory data analysis (EDA) to identify trends and anomalies. Collaborate with cross-functional teams to integrate data-driven solutions into business strategies. Use data visualization and storytelling techniques to communicate complex findings to non-technical stakeholders. Stay updated with the latest advancements in machine learning and AI technologies. Required Qualifications 5+ years or 8+ years of hands-on experience in data science and machine learning. Strong proficiency in Python and relevant data science packages. Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch. Knowledge of SQL and database management for data extraction and manipulation. Expertise in statistical analysis, hypothesis testing, and feature engineering. Understanding of Marketing Mix Modeling is a plus. Experience in data visualization tools such as Matplotlib, Seaborn, or Plotly package Strong problem-solving skills and ability to work with large datasets. Excellent communication skills with a knack for storytelling using data. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of big data technologies like Hadoop, Spark, or Databricks. Exposure to NLP, computer vision, or deep learning techniques. Understanding of A/B testing and experimental design. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Role Overview Algoritt Consulting is seeking an experienced Sustainability Consultant with expertise in ESG reporting, climate risk analysis, and corporate ESG disclosures. The ideal candidate will have a strong background in sustainability, environment, or economics, coupled with certifications in ESG or climate studies. With 3+ years of experience, preferably in consulting, the candidate will contribute to impactful projects focused on corporate ESG data analysis, KPI monitoring, and decarbonization strategies. Key Responsibilities Lead ESG advisory projects from inception to delivery, including strategic direction and team coordination Collaborate with project managers to plan and execute projects, ensuring client satisfaction and successful outcomes Develop and present comprehensive analyses, conclusions, and deliverables, including written reports, metrics, and insights Execute multi-disciplinary projects across various aspects of sustainability platforms in a collaborative manner Ensure quality deliverables aligned with client objectives and maintain high levels of client satisfaction through effective communication and engagement Stay updated on ESG concepts, methodologies, and best practices, and share insights with the team to foster continuous improvement Requirements Education Masters degree in Sustainability, Environment, Economics, or a related field Certifications in ESG, climate studies, MRV, or risk analysis are highly desirable Experience Minimum of 3 years of relevant experience in the sustainability space, preferably within a consulting role Hands-on experience in corporate ESG disclosures (e.g., SR, IR), ESG data analysis, and KPI monitoring Experience with climate risk analysis and developing decarbonization strategies is preferred Technical Skills Strong knowledge of ESG reporting frameworks, including GRI, SASB, DJSI/S&P, CDP, BRSR, TCFD, and UNPRI Advanced proficiency in MS Excel; data science skills are a plus Soft Skills Strong written and verbal communication skills in English, with excellent presentation skills Capable of working under pressure, maintaining flexibility in work hours Working independently with minimal supervision

Role Overview We are looking for a Data Scientist to develop and implement advanced analytics solutions. The role involves working with complex datasets and developing machine learning models. Key Responsibilities Develop and implement machine learning models Analyze complex datasets and extract insights Create predictive analytics solutions Collaborate with cross-functional teams Present findings to stakeholders Drive data-driven decision making Requirements Education Masters/PhD in Data Science, Statistics, or related field Experience 5+ years of experience in data science Strong background in machine learning Experience with big data technologies Technical Skills Expertise in Python, R, and SQL Experience with ML frameworks Knowledge of big data tools Understanding of statistical methods Soft Skills Strong analytical and problem-solving skills Excellent communication abilities Research and innovation mindset

Key Responsibilities: Design, develop, and deploy machine learning models, particularly in NLP and OCR. Implement deep learning algorithms for complex tasks. Collaborate with software engineers to integrate AI models. Continuously monitor and improve model performance. Ensure AI solutions comply with security regulations. Required Skills and Experience: Bachelors or Master s in Computer Science, Data Science, or related field. 1+ years in AI/ML development. Proficient in Python, TensorFlow or PyTorch. Experience with NLP libraries and OCR tools.

1. Organize training programs on Planning & Installation for all new dealers. 2. Maintain the profitability as per the costing furnished by sales team. 3. Handle all major projects and complete within the agreed timeline. 4. Visit all dealer jobs periodically and maintain the quality of Installation as per the standards. 5. Train and develop the dealer team on all new products introduced 6. Maintain good PR with all key customers during the installation stage and collect satisfaction letters. 7. Provide the necessary cost variance reports for all major jobs executed. 8. Release timely work orders to dealers on NAD / Key customer jobs. 9. Submit necessary documentations and bills to customers and facilitate timely collection. 10. Furnish continuous feedback on the product quality to the Product Managers and contribute for improvement. 11. Support Channel Partners with necessary spares during the pre commissioning failures 12. Prepare pre commissioning failure reports to Quality / Factory and get necessary credit to branch. 13. Claim timely insurance on damaged machines delivered at warehouse/sites and follow up for necessary settlement. 14. Ensure to get credits for spares issues during pre-commissioning failure from factory 15. Ensure there are no escalations, in case of any escalations resolve the same at earlie Key Responsibilities: Short Info Posted: 0 day(s) ago Location: Jaipur Qualifications: BE Experience: 3 Years - 0 Months To 6 Years - 0 Months

Qualifications and Skills: Master s or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field. 5+ years of hands-on experience in data science or machine learning roles. Strong proficiency in Python or R, with deep knowledge of libraries like scikit-learn, pandas, NumPy, TensorFlow, or PyTorch. Proficient in SQL and working with relational databases. Solid experience with Azure cloud platforms and data pipeline tools. Strong grasp of statistical methods, machine learning algorithms, and model evaluation techniques. Excellent communication and storytelling skills with the ability to influence stakeholders. Proven track record of delivering impactful data science solutions in a business setting. Preferred Qualifications: Experience working in industries such as [logistics, aerospace, marketing, etc.]. Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow). Knowledge of data visualization tools (e.g., Tableau, Power BI, Plotly). Responsibilities and Duties Model Development: Design, build, and deploy scalable machine learning models to solve key business challenges (e.g., customer churn, recommendation engines, pricing optimization). Data Analysis: Perform exploratory data analysis (EDA), statistical testing, and feature engineering to uncover trends and actionable insights. Project Leadership: Lead end-to-end data science projects, including problem definition, data acquisition, modeling, and presentation of results to stakeholders. Cross-functional Collaboration: Partner with engineering, product, marketing, and business teams to integrate models into products and processes. Mentorship: Guide and mentor junior data scientists and analysts, helping them grow technically and professionally. Innovation: Stay current with the latest data science techniques, tools, and best practices. Evaluate and incorporate new technologies when appropriate. Communication: Translate complex analyses and findings into clear, compelling narratives for non-technical stakeholders. EXPERIENCE 8-11 Years SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Data Science

Analyze and transform data science prototypes Develop ML applications as per requirements Run machine learning tests and experiments Perform analysis and fine-tuning of models using test results Train and retrain ML models when necessary Skills: Experience working on Cloud platforms, preferably AWS Proven experience as Machine Learning Engineer Experience in AWS Sagemaker Understanding of data structures, data modeling and software architecture Ability to write robust code in Python Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills Aws, Ml

Integrate with internal/external LLM APIs (e.g., OpenAI, Azure OpenAI), including prompt engineering and pre/post-processing as required. Build and maintain data analysis workflows using Pandas for data transformation and insight delivery. Develop RESTful APIs using FastAPI or Flask for data and document management. Design and implement clean, efficient, and modular Python codebases for backend services, data pipelines, and document processing workflows. Support the team in onboarding new data sources, integrating with Azure services, and ensuring smooth cloud deployments. Collaborate with product, data science, and engineering teams to translate business requirements into technical solutions. Write unit tests and contribute to CI/CD pipelines for robust, production-ready code. Stay up to date with advances in Python, LLM, and cloud technologies. Qualifications Qualifications: Bachelor s or master s in computer science, Engineering, or related quantitative discipline. Experience: 6 to 9 years of hands-on experience in data engineering or backend development with Python. Technical Competencies: Exposure to LLM integration (prompt design, API integration, handling text data). Strong experience in Python with focus on data analysis (Pandas) and scripting. Hands-on experience in building REST APIs (FastAPI or Flask). Experience in developing data pipelines, data cleaning, and transformation. Working knowledge of Azure cloud services (Azure Functions, Blob Storage, App Service, etc.) (Nice to have) Experience integrating MongoDB with Python for data storage, modelling, or reporting.

To lead a small team and ensure the seamless execution of delegate registration and data management for the Zak World of Fa ades conference series. This role is pivotal in delivering a high-quality registration experience for attendees, maintaining accurate data records, and supporting the overall success of the event operations. Qualification: Graduate. Preferably a PGDM in Events Management. Should have handled RSVP for 2-3 years. Fluency in spoken English is a must. . Please make sure to mention the title of the job position youre applying for in the subject line of your email.

We are looking for a highly motivated and detail-oriented data scientist to join our analytics and AI/ML team. The ideal candidate will be responsible for leveraging data to drive strategic decisions, develop predictive models, and deliver actionable insights that create business value. Key Responsibilities Collect, clean, and preprocess large datasets from various sources. Apply statistical and machine learning techniques to solve real-world business problems. Develop, test, and implement predictive models and algorithms. Visualize data insights and communicate findings effectively to both technical and non-technical stakeholders. Collaborate with cross-functional teams, including engineering, product, and business teams. Continuously improve data models and maintain model accuracy. Stay updated on the latest developments in data science and machine learning.

Do you want to help solve the world's most pressing challenges such as feeding the world's growing population and slowing climate change AGCO is looking for individuals to join them in making a difference. Currently, AGCO is seeking a Senior Manager, AI & Data Systems Architecture to lead the design, creation, and evolution of system architectures for AI, analytics, and data systems within the organization. As the Senior Manager, AI & Data Systems Architecture, you will collaborate with cross-functional teams, including data engineers, data scientists, and other IT professionals to create architectures that support cutting-edge AI and data initiatives. Your responsibilities will include leading the end-to-end architecture for AI and data systems, designing and implementing data infrastructure and AI platforms, championing cloud adoption strategies, and driving the continuous improvement and evolution of data and AI architectures to meet emerging business needs and industry trends. To qualify for this role, you should have a minimum of 10 years of experience in data architecture, AI systems, or cloud infrastructure, with at least 3-5 years in a leadership role. You should also possess deep hands-on experience with cloud platforms like AWS, Google Cloud Platform (GCP), and Databricks, as well as familiarity with CRM systems like Salesforce and AI systems within those solutions. Additionally, you should have expertise in data architecture, including data lakes, data warehouses, real-time data streaming, and batch processing frameworks. The ideal candidate will have strong leadership and communication skills, with the ability to drive architecture initiatives in a collaborative and fast-paced environment. A Bachelor's degree in Computer Science, Data Science, or a related field is required, while a Master's degree or relevant certifications such as AWS Certified Solutions Architect are preferred. AGCO offers a positive workplace culture that values inclusion and diversity, providing benefits such as health care and wellness plans, flexible work options, and opportunities for personal development and growth. If you are passionate about leveraging innovative technologies to make a positive impact and contribute to the future of agriculture, apply now to join AGCO in their mission.,