7757 Machine Learning Jobs - Page 27

Sopra Steria is looking for CATIA DMU Module Lead to join our dynamic team and embark on a rewarding career journey Provide strategic direction and oversight for a team or project, ensuring alignment with organizational goals Manage planning, execution, and delivery of tasks while mentoring team members and promoting skill development Facilitate collaboration across departments, monitor performance metrics, and implement improvements Resolve conflicts, allocate resources effectively, and ensure adherence to timelines and quality standards Serve as the main point of contact for stakeholders and ensure transparent communication and reporting Continuously evaluate processes to drive innovation and efficiency

We are seeking a passionate and skilled Data Science, AI & ML Trainer with 2-5 years of experience to join our team. The ideal candidate will deliver engaging, hands-on training sessions, simplifying complex concepts and guiding learners through practical, real-world projects. This role is perfect for an individual enthusiastic about teaching and staying at the forefront of AI/ML advancements. Key Responsibilities Design and deliver high-quality training sessions on Python, Data Analysis, Machine Learning, and AI fundamentals. Collaborate with the curriculum development team to create relevant course content, hands-on exercises, and mini-projects. Mentor and support learners, addressing technical queries and fostering a collaborative learning environment. Stay updated with the latest tools, frameworks, and trends in Data Science, AI, and ML to ensure training content remains current. Evaluate learner progress and provide constructive feedback to enhance skill development. Contribute to the creation of training materials, including presentations, tutorials, and case studies. Requirements 2-5 years of professional experience in Data Science, AI/ML roles, or training. Strong proficiency in Python and key libraries such as Pandas, NumPy, and Scikit-learn. Excellent communication and presentation skills, with the ability to explain complex concepts clearly. Passion for teaching, mentoring, and empowering learners. Strong organizational skills and the ability to manage multiple training sessions effectively. Proactive and self-motivated with a commitment to continuous learning. Good to Have Experience with Deep Learning frameworks such as TensorFlow or PyTorch. Familiarity with Natural Language Processing (NLP) or cloud platforms (e.g., AWS, Azure, GCP). Prior experience conducting workshops, bootcamps, or corporate training sessions. Knowledge of data visualization tools like Matplotlib, Seaborn, or Tableau.

As a Tech Associate in AI & GenAI, you ll work directly with clients and cross-functional teams to design, prototype, implement AI-powered solutions and research-driven innovation. You ll help translate business challenges into working models, leveraging Generative AI, large language models (LLMs), and traditional machine learning. This is a dynamic role, and you ll need to be adaptable, client-focused, and comfortable working across industries and use cases while staying deeply engaged with the latest research trends and emerging AI practices. Ability to run developer sessions by training upcoming AI and GenAI Developers. Technology Associate | nasscom As a Tech Associate in AI & GenAI, you ll work directly with clients and cross-functional teams to design, prototype, implement AI-powered solutions and research-driven innovation. You ll help translate business challenges into working models, leveraging Generative AI, large language models (LLMs), and traditional machine learning. This is a dynamic role, and you ll need to be adaptable, client-focused, and comfortable working across industries and use cases while staying deeply engaged with the latest research trends and emerging AI practices. Ability to run developer sessions by training upcoming AI and GenAI Developers. Job Details Location, Department Unit and Reporting Basic Functions/ Job Responsibility Partner with clients to understand business requirements and identify AI/ML and Generative AI opportunities. Ability to suggest development process, fine-tune, and evaluate AI/ML models and algorithms to fit client needs. Build proofs-of-concept (PoCs), prepare demos, and support pilot projects in Generative AI (e.g. chatbots, text/image generation, data extraction). Write clean and modular code, ensuring high quality and scalability. Assist with data wrangling, feature engineering, model training, and fine-tuning. Prepare technical documentation and communicate findings and recommendations clearly to both technical and non-technical stakeholders. Stay up to date on AI trends, tools, and frameworks to suggest relevant solutions for clients. Engage in knowledge sharing through whitepapers, internal training sessions, or publishing short research findings to maintain thought leadership. Assist in training the upcoming AI and GenAI developers during the Nasscom developer sessions. Knowledge, Skills, Qualifications, Experience Bachelor s or Master degree in Computer Science, AI, Data Science, or related discipline 1 2 years of hands-on experience with AI/ML frameworks (e.g. PyTorch, TensorFlow, Hugging Face Transformers, LangChain) Strong proficiency in Python; familiarity with version control (Git) and collaborative development processes Exposure to REST APIs, data processing tools, and cloud platforms is a plus Ability to explain technical concepts clearly to a diverse audience - clients, business users, and developers Proven research background: prior publications, academic collaboration, R&D, or prototyping new AI methods Excellent problem-solving and analytical skills with a proactive, consulting-oriented mindset Fill the form below to apply for the Technology Associate Upload file (doc docx pdf) from here. Upload Cover Letter Upload cover letter (doc docx pdf) from here. Linkedin Profile For Recaptcha requires verification. Enter your nasscom username. Enter the password that accompanies your username. 6 + 8 = Solve this simple math problem and enter the result. E.g. for 1+3, enter 4. The email address is not made public. It will only be used if you need to be contacted about your account or for opted-in notifications. 1 + 11 = Solve this simple math problem and enter the result. E.g. for 1+3, enter 4. Username or email address Password reset instructions will be sent to your registered email address. 1 + 2 = Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.

Job Title: Senior Data Scientist About Trellix: Trellix, the trusted CISO ally, is redefining the future of cybersecurity and soulful work. Our comprehensive, GenAI-powered platform helps organizations confronted by today s most advanced threats gain confidence in the protection and resilience of their operations. Along with an extensive partner ecosystem, we accelerate technology innovation through artificial intelligence, automation, and analytics to empower over 53,000 customers with responsibly architected security solutions. We also recognize the importance of closing the 4-million-person cybersecurity talent gap. We aim to create a home for anyone seeking a meaningful future in cybersecurity and look for candidates across industries to join us in soulful work. More at https://www.trellix.com/ . Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative Data Science team. Reporting to the Data Science Director, you will contribute to the development of advanced Machine Learning (ML) solutions for cybersecurity challenges, including threat detection, malware analysis, and anomaly detection. Your expertise will help drive end-to-end ML product development, from data preparation to deployment, while ensuring seamless integration into our core products. What You Will Do: As a Senior Data Scientist, you will work in a team of smart data scientists reporting to the Data Science Director that does full-lifecycle full-stack Machine Learning product development, from feature engineering to model building and evaluation. Our teams use cases include but are not limited to threat detection, threat hunting, malware detection and anomaly detection, and MLOps. You will work with other Senior Data Scientists in the team to execute data science projects. You will identify issues with models running in production and resolve them. This may require retraining models from scratch, adding new features to model, set-up automated model training and deployment pipelines. These models will be integrated into popular products of the company to show maximum impact. About You: A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, Mathematics, Statistics In-Depth understanding of all major Machine Learning and Deep learning algorithms, supervised and unsupervised both Passion for leveraging ML/AI to solve real-world business problems 4-7 years of industry experience in one or more machine/deep learning frameworks 4-7 years of industry experience with Python/Pyspark and SQL Experience solving multiple business problems using Machine Learning Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as MLFlow) Should be able to drive end-to-end machine learning project with limited guidance Solid computer science foundation Good written and verbal communication Ph.D in Cyber Security/Machine Learning or related field will be an added advantage 4-7 years of industry experience in the field of Data Science/Machine learning Prior experience in solving cyber security problems using machine learning Familiarity with Security Domain will be a plus Company Benefits and Perks: We believe that the best solutions are developed by teams who embrace each others unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement Were serious ab out our commitment to a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Job Title: Senior Machine Learning Engineer About Trellix: Trellix, the trusted CISO ally, is redefining the future of cybersecurity and soulful work. Our comprehensive, GenAI-powered platform helps organizations confronted by today s most advanced threats gain confidence in the protection and resilience of their operations. Along with an extensive partner ecosystem, we accelerate technology innovation through artificial intelligence, automation, and analytics to empower over 53,000 customers with responsibly architected security solutions. We also recognize the importance of closing the 4-million-person cybersecurity talent gap. We aim to create a home for anyone seeking a meaningful future in cybersecurity and look for candidates across industries to join us in soulful work. More at https://www.trellix.com/ . Role Overview: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative Data Science and Engineering team. Reporting to the Data Science Director, you will play a critical role in building and scaling machine learning systems that power our cybersecurity products. You will work closely with data scientists and software engineers to design, develop, and deploy end-to-end ML pipelines, ensuring high performance and reliability in production. Your engineering expertise will directly contribute to solving complex challenges in areas such as threat detection, malware analysis, anomaly detection, and automated model workflows. About the role: As a Senior Machine Learning Engineer, you will be part of a high-impact team reporting to the Director of Data Science, focused on developing scalable, production-grade machine learning solutions to power cybersecurity products. Collaborate with data scientists and engineering teams to build and scale machine learning pipelines. Develop and deploy production-ready ML systems for use cases such as:Threat and attack detection,Threat hunting,Malware detection,Anomaly detection Build and optimize distributed data pipelines using Apache Spark and Python. Design and implement MLOps workflows including data preprocessing, model training, evaluation, and deployment. Monitor and retrain ML models based on feedback and performance in production. Develop model serving infrastructure for high availability, low latency, and scalability. Automate and streamline feature engineering, hyperparameter tuning, and CI/CD pipelines for ML models. Ensure model integration into security products with adherence to compliance and data governance standards. About you: You are an experienced ML Engineer with a strong foundation in software engineering and a passion for solving complex problems in the cybersecurity domain. Must-Have Qualifications: A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, with Mathematics/Statistics at undergraduate level 4-6 years of industry experience as a Machine Learning Engineer Advanced proficiency in Python and strong programming fundamentals Hands-on experience with Apache Spark or PySpark for distributed data processing Solid understanding of machine learning concepts and experience with ML libraries like scikit-learn, XGBoost, TensorFlow, or PyTorch. Experience in building, deploying, and monitoring end-to-end ML systems in production Familiarity with MLOps tools (e.g., MLflow, Kubeflow, SageMaker Pipelines). Proficiency in SQL and handling large-scale data Experience working with public cloud platforms (AWS, GCP, or Azure). Strong software engineering practices: Git, containerisation (Docker), testing, CI/CD Good to Have: Knowledge of Large Language Models (LLMs) such as GPT, BERT, LLaMA, or Falcon. Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) Company Benefits and Perks: We believe that the best solutions are developed by teams who embrace each others unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement Were serious ab out our commitment to a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Departments-Computer Science & Engineering ,Artificial Intelligence & Machine Learning, CSE-Data Science, Information Science & Engineering, Electrical & Electronics Engineering, Master of Business Administration, Master of Computer Application, Qualification: Bachelor s Degree, master s degree, Ph.D. Experience: Assistant Professor Bachelor s Degree, master s degree with 0-3 years of Experience. Associate Professor Bachelor s Degree, master s degree, Ph.D. with minimum 5-8 Years of Experience of which 2 years post Ph.D. experience. Professor Bachelor s Degree, master s degree, Ph.D. with minimum 10 Years of Experience of which at least 5 years at the level of Associate Professor.

RESPONSIBILITIES Layout, positions, aligns and fits components together using applicable machines, tools and equipment. Bolt, clamp and tack weld parts to secure them in position for final welding. Welding programming on CNC as per the drawing. Select consumables as per the WPS / Work Order details Prior to start welding, check and calibration status of machines and ovens Pre- heat as required by the procedure Start welding and monitor each pass for the welding quality Check and maintain inter-pass temperature as per procedure Record all details required as per the procedure in respective format Record / identify / communicate, in case any NCR noticed Identify the items as required by the procedure Follow safety instructions and notify, if any unsafe conditions noticed. Move all the welded items to PWHT and follow PWHT Procedure Suggest for the improvements through CAR / PAR EDUCATION, EXPERIENCE AND FUNCTIONAL COMPETENCIES ITI / Diploma in welding / cladding with 2-3 years experience. Work experience in operating Automatic Cladding machine Must have experience in SMAW and GTAW welding Must have strong understanding of how to interpret and use drawings, Welding specifications and welding procedure. Must be able use and read welding measuring devices. Must be able to write program for the welding on auto welding Must be familiar with operation of auto Tig machine, Welding torches and accessories Must have experience in welding of oil and gas industry items. Ability to produce quality welds. Ability to visually inspect the weld Ability to analyze the defects and act on elimination of those. Ability to perform repair welds as per the procedure. BEHAVIORAL COMPETENCIES Interest to learn and adopt changes Work with team Contribute to improvements

Req ID: 328617 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Systems Integration Senior Specialist to join our team in Chennai, Tamil N du (IN-TN), India (IN). Job Title: Azure Cloud Automation and Data Analytics Engineer Seniority: 3-4 OffShore Profile Summary: We are seeking a dynamic and experienced Azure Cloud Automation and Data Analytics Engineer with a proactive attitude and strong independence. This role requires expertise in scripting and automating processes using IAC / scription, along with proficiency in languages like PowerShell, Python, and Bash. The ideal candidate will also have a background in Data Analytics and SQL. Awareness of security, operations, and networking within Azure is essential. This position combines some aspects of Data Ops, Site Reliability Engineering (SRE), Platform Engineering, and DevOps. We are looking for a candidate who excels in automation and development, rather than merely operational tasks. Project: CONNECT LIFE SQUAD Client responsible: Victor Salesa Sanz Team: CONNECT LIFE SQUAD Way of Working: List of Key Responsibilities: - Design, implement, and manage cloud infrastructure on Azure using Terraform and scripting languages. - Automate deployment, configuration, and management of cloud resources. - Develop and maintain data analytics solutions, including data pipelines and ETL processes. - Write, optimize, and manage SQL queries and databases and be aware of the results - Ensure security and compliance of cloud environments. - Collaborate on designing and implementing networking solutions within Azure. - Conduct performance tuning, troubleshooting, and root cause analysis. - Implement and manage monitoring, logging, and alerting systems. - Being able to interact with other teams in the company to GTD from other teams we depend by tracking of the tickets But at the same time independent to understand what is required. - Participate in on-call rotations and provide support for cloud operations. Technical Knowledge: Technology Level of expertise* Priority Must Nice to have Azure Storage / Azure Services / Azure Permissions 3 1 X Azure Databricks / Spark 3 1 X Azure Kubernetes Service (AKS) 3 2 X Azure SQL Server / Databases /SQL 3 1 X Azure Data Factory 3 3 X Power BI 2 3 X Docker and Containers / Azure Container Registry 4 1 X Azure Machine Learning / Airflow / Orchestration tools 4 1 X Azure Devops Pipelines 4 1 X Python PowerShell Bash / Programming languages 4 1 X Terraform 4 1 X OAuth (Authentication in Azure and tokens) 4 2 X REST APIs (Service-oriented in Azure) 4 2 X Azure certifications 4 2 X Experience with other cloud platforms (e.g., AWS, Google Cloud 4 2 X Soft Skills: - Customer oriented attitude to our customer willing to provide solutions for any challenge our customer is facing by having all-ears to any suggestion. This is really something interesting - Strong problem-solving skills and ability to work independently. This is a must - Proactive attitude and excellent communication skills. This is a must - Not fear of asking or taking challenges. Qualifications: - Proven experience in cloud infrastructure management, specifically with Microsoft Azure with scripting approach more than just click-ops - Expertise in scripting and automation using Terraform, PowerShell, Python, and Bash. - Background in Data Analytics, including proficiency in SQL. - Knowledge of security best practices in a cloud environment. - Familiarity with Azure networking concepts and services. - Experience with DevOps practices and tools, including CI/CD pipelines and version control. Entry-level: This refers to individuals who are just starting their careers or have less than 2 years of experience in the field. Junior: Typically, this level represents professionals with 2-4 years of experience in the technology. Mid-level: This level indicates individuals with 5-8 years of experience and who have developed a solid foundation of knowledge and skills in their specific area of expertise. Senior: Senior professionals typically have 8-10+ years of experience and possess advanced knowledge, expertise, and leadership capabilities within their field. Expert: This level represents professionals who are recognized as industry experts and have extensive experience of 10+ years. They are considered authorities in their field and often contribute to the advancement and development of technology through research, innovation, and leadership. List of Used Tools: Described above Additional comments: We need a person that is: - Azure certifications (e.g., Azure Solutions Architect, Azure DevOps Engineer, Azure Security Engineer). Desired but experience is priority over this one - Experience with other cloud platforms (e.g., AWS, Google Cloud) is a plus.

Python Software Development Sr.specialist Job Description In these roles, you will be responsible for: Design, implement, and test generative AI models using python and various frameworks such as Pandas, TensorFlow, PyTorch, and OpenAI. Research and explore new techniques and applications of generative AI, such as text, image, audio, and video synthesis, style transfer, data augmentation, and anomaly detection. Collaborate with other developers, researchers, and stakeholders to deliver high-quality and innovative solutions. Document and communicate the results and challenges of generative AI projects. Required Skills for this role include: Technical skills 5 to 7 years Experience in developing Python frameworks such DL, ML, Flask At least 2 years of experience in developing generative AI models using python and relevant frameworks. Strong knowledge of machine learning, deep learning, and generative AI concepts and algorithms. Proficient in python and common libraries such as numpy, pandas, matplotlib, and scikit-learn. Familiar with version control, testing, debugging, and deployment tools. Excellent communication and problem-solving skills. Curious and eager to learn new technologies and domains. Desired Skills: Knowledge of Django, Web API Proficient exposure on MVC. Preferences: Graduate degree in Computer Science with 4 years of Python based development. Gen AI Framework Professional Certification

Req ID: 303766 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Digital Project Manager Lead Consultant to join our team in Pune, Mah r shtra (IN-MH), India (IN). RESPONSIBILITIES: Lead and manage AI projects from inception to completion, ensuring successful delivery within scope, timeline, and budget. Develop comprehensive project plans, including timelines, resource allocation, and risk management strategies for AI and machine learning initiatives. Collaborate with a diverse range of stakeholders, including data scientists, engineers, and business leaders, to align project objectives with organizational goals. Oversee the development and deployment of AI models, ensuring alignment with project requirements and performance metrics. Identify, analyze, and address project issues and risks, implementing corrective actions as needed to keep projects on track. Drive process improvements by integrating new technologies and best practices into project management processes. Facilitate clear and effective communication across project teams and stakeholders, providing regular updates and ensuring transparency throughout the project lifecycle. Ensure AI projects adhere to data privacy regulations, ethical guidelines, and industry standards. Handle project operations - Resource Rampup, People Management, Trainings Working with COE to create new GenAI accelerators Location: Pune Skills, Knowledge, and Experience: Technical Handson skills in GenAI is must. Should be able to provide technical guidance to the team when required Minimum 3-4 years of experience managing AI or technology projects, with a proven track record of delivering complex projects on time and within budget. Bachelor s degree in Computer Science, Data Science, or a related field; advanced certification (e.g., PMP, Agile) is a plus. Strong portfolio demonstrating successful AI projects, showcasing ability to manage project scope, resources, and stakeholder expectations effectively. Familiarity with AI and machine learning concepts, technologies, and tools, with the ability to understand and manage technical aspects of projects. Proficiency in project management methodologies (e.g., Agile, Scrum) and tools (e.g., Jira, MS Project). Experience with data analytics and performance monitoring tools relevant to AI projects. Understanding of how AI solutions can drive business value and impact organizational strategy. Knowledge of ethical considerations and compliance requirements related to AI and data privacy. Strong understanding of programming or data science tools (e.g., Python, R) for better communication with technical teams & Azure GENAI Exceptional communication skills, with the ability to convey complex AI concepts and project details to both technical and non-technical stakeholders.

Req ID: 328578 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Scientist to join our team in Bangalore, Karn taka (IN-KA), India (IN). Job Title: Data Scientist Location: Bangalore (Hybrid) Experience: 5-7 years Job Summary: We are looking for a versatile and innovative Data Scientist with experience in Azure Cloud , .NET , ReactJS , and Python (LangChain & FastAPI) to join our cross-functional team. This role blends data science expertise with full-stack development and cloud deployment, enabling intelligent solutions that scale. Key Responsibilities: Design and implement machine learning models and NLP pipelines using Python, LangChain, and FastAPI. Develop and deploy data-driven applications on Microsoft Azure , leveraging services like Azure ML, Azure Functions, and Azure Data Lake. Collaborate with backend developers using .NET and frontend developers using ReactJS to integrate AI models into scalable web applications. Build APIs and microservices to serve ML models and data insights. Perform data wrangling, feature engineering, and model evaluation. Create dashboards and visualizations to communicate insights to stakeholders. Ensure security, scalability, and performance of deployed solutions in the Azure environment. Required Skills & Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, or a related field. Strong experience with Python , especially LangChain , FastAPI , and data science libraries (pandas, scikit-learn, etc.). Proficiency in .NET (C#) for backend development. Experience with ReactJS for building interactive UIs. Hands-on experience with Azure Cloud Services (e.g., Azure ML, Azure Functions, Azure DevOps). Solid understanding of RESTful APIs, microservices, and CI/CD pipelines. Strong problem-solving and communication skills. Preferred Qualifications: Experience with LLMs, vector databases, and prompt engineering. Familiarity with containerization (Docker, Kubernetes). Knowledge of MLOps practices and tools. Exposure to Agile/Scrum methodologies.

Phd with 6 yrs industry exp or M.Tech + 8 yrs experience or B.tech + 10 yrs experience. -Minimum 3 yrs experience working as a Manager (only Lead experience will not qualify). -8 years experience in any of the programming languages such as Python/C++/CUDA. -8 years experience in Machine learning, Artificial intelligence, Deep learning & Computer vision. -5 years exp in Image processing -Product Company Experience is a MUST. Candidates from engineering product companies are higher chances of select. - Candidates from Tier 1 colleges like (IIT, IIIT, VIT, NIT)(Preferred) -No job hoppers(candidate must have good stability- min 2 years in an organisation) - No Poach - HCL (current company must not be HCL) ******** -Relocation to Chennai is mandatory Role & responsibilities Preferred candidate profile

contract 1 yearlocation ETV ( Flipkart ) Bangalore,Karnataka Job Code Mandatory SkillsMachine Learning, Statistical Modeling, Predictive Modeling, data analysis, Data Analytics, Predictive Analytics, Advanced Analytics, data mining, Python, Regression Testing Key Responsibilities Collect, clean, and explore large datasets to uncover trends and patterns. Design, develop, and deploy predictive models (e.g., regression, classification, timeseries, clustering) using machine learning and statistical techniques. Conduct advanced statistical modeling: regression, ANOVA, factor analysis, PCA, etc. Perform data analysis, feature engineering, and preprocessing to optimize model accuracy and reliability. Evaluate and refine models continually; monitor performance and recalibrate to account for data drift. Visualize data and present findings through clear dashboards and reports, using tools like Advanced Excel, Tableau, or Power BI Collaborate with cross-functional teams (e.g., business, engineering, data engineering) to integrate predictive analytics into operations. Communicate complex results to stakeholders with clarity and influence strategic decisions. Required Qualifications & SkillsEducation & Experience Bachelors degree in Statistics, Mathematics, Computer Science, Data Science, or related quantitative field; Master’s preferred 3+ years in analytics, data science, or similar roles involving predictive modeling and data analysis. Technical & Analytical Skills Machine Learning & Statistical Modeling : deep expertise in regression (linear, logistic), clustering, decision trees, random forests, time-series forecasting, SVMs, ensemble methods, and neural networks. Programming & Tools : Proficiency in Python or R; strong command of SQL for data extraction; advanced Excel (pivot tables, VBA); familiarity with ML frameworks (Scikit-Learn, TensorFlow, PyTorch). Data Manipulation & Feature Engineering : experience cleaning, wrangling, and transforming data; feature selection and dimensionality reduction (PCA, LDA). Predictive Analytics Tools : Comfortable with BI platforms (Tableau, PowerBI) and predictive environments (Azure ML, SAP, IBM SPSS, SAS). Bangalore,Karnat aka ion : Skilled in model validation, metrics (accuracy, precision, recall), A/B testing.

Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline) Good programming skills in Python with strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc. Experience with SQL, Excel, Tableau/ Power BI, PowerPoint Predictive modelling experience in Python (Time Series/ Multivariable/ Causal) Experience applying various machine learning techniques and understanding the key parameters that affect their performance Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs Excellent verbal and written communication Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects. Roles & Responsibilities: Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities: Connect with internal / external POC to understand the business requirements Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis Create project plan and sprints for milestones / deliverables Spin VM, create and optimize clusters for Data Science workflows Create data pipelines to ingest data effectively Assure the quality of data with proactive checks and resolve the gaps Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms Research whether similar solutions have been already developed before building ML models Create optimized data models to query relevant data efficiently Run relevant ML / DL algorithms for business goal seek Optimize and validate these ML / DL models to scale Create light applications, simulators, and scenario builders to help business consume the end outputs Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively Integrate and operationalize the models in client ecosystem Document project artifacts and log failures and exceptions. Measure, articulate impact of DS projects on business metrics and finetune the workflow based on

Job Title: Data Scientist Location: Bangalore Type: Full-time (On-site) Experience: 3-6 years About the Role: We are looking for a skilled Data Scientist to lead our marketing analytics and customer journey modelling initiatives. This role will be pivotal in measuring the effectiveness of marketing campaigns, understanding user behaviour across touchpoints, and delivering insights to improve business outcomes. You will collaborate closely with marketing, growth, and data engineering teams to develop data-driven frameworks, enhance channel performance, and support strategic decision-making. Key Responsibilities: Develop and implement advanced analytical models to assess the effectiveness of various marketing channels and campaigns. Apply statistical, probabilistic, and machine learning methods to model user behaviour and conversion patterns. Work with large-scale marketing datasets, including impressions, clicks, conversions, and engagement metrics. Collaborate with marketing teams to optimize channel efficiency, campaign targeting, and user segmentation. Design and execute controlled experiments and A/B tests to validate model outputs and strategic initiatives. Automate data pipelines and model outputs to deliver real-time performance tracking and insights. Create intuitive dashboards, visualizations, and documentation to communicate insights and support business stakeholders. Qualifications: 3-6 years of experience in data science, marketing analytics, or customer journey analysis. Proficiency in Python, SQL, and commonly used data science libraries (e.g., pandas, NumPy, scikit-learn). Strong understanding of statistical modelling techniques such as logistic regression, time series analysis, and survival models. Experience with machine learning approaches for classification, segmentation, and recommendation. Solid grasp of digital marketing ecosystems and user engagement metrics. Hands-on experience with experimentation design, A/B testing, and lift analysis. Excellent problem-solving and communication skills with a strong product and data-driven mindset.

JOB OVERVIEW: The Data Analytics and Insights Manager will play a pivotal role in driving data-driven decision-making by utilizing advanced analytics, artificial intelligence (AI), and machine learning techniques. This role will focus on leveraging technology to automate data extraction, generate actionable insights, and provide predictive analytics that will support business growth,. The ideal candidate will be responsible for leveraging technology to automate data integration from diverse sources, mining data to identify key trends, and delivering strategic insights that drive the optimization of marketing and sales strategies. KEY STAKEHOLDERS: INTERNAL Senior Sales Leadership, Marketing Team and Commercial Teams KEY STAKEHOLDERS: EXTERNAL : External Data Providers, Market Research agencies REPORTING STRUCTURE: Reports to Head Strategic Marketing ESSENTIAL QUALIFICATION: Bachelors degree in Data Science, Business Analytics, Marketing, or related fields. Additional certifications in AI, machine learning, or data analytics platforms preferred. RELEVANT EXPERIENCE: Minimum of 2+ years in data analytics, business intelligence, or related fields. Proficiency in predictive analytics, machine learning, and data science techniques. Experience with Salesforce, CRM systems, and data extraction technologies. Familiarity with the Pharma domain is an advantage. Knowledge of Marketo is a plus. Key Roles/Responsibilities KEY ROLES/RESPONSIBILITIES: Data Extraction & Automation: Use advanced data extraction techniques, including automation tools and web scraping, to gather critical data on market trends, Drive automation initiatives to streamline data collection processes and increase efficiency Predictive Analytics & Insights Generation: Leverage machine learning and AI-driven algorithms to analyze historical and current data to predict future trends and sales opportunities. Provide actionable insights to enhance lead generation, conversion rates, and overall business performance. Competitor & Market Trend Analysis: Conduct ongoing competitor analysis using automated tools to extract competitive intelligence. Generate market trend insights, helping the business to stay competitive and refine its strategy in response to external changes. Salesforce Data Analytics: Utilize Salesforce data and other integrated platforms to perform deep data analysis, track sales performance, and generate insights that drive sales team effectiveness. Automate data flow and reporting processes within Salesforce to ensure real-time, actionable insights. Collaboration with Sales and Marketing Teams: Work closely with the Inside Sales and Marketing teams to identify key performance indicators (KPIs) and analytics that support lead generation, sales optimization, and marketing strategies. Provide data-driven recommendations to drive decision-making and improve marketing campaigns. Advanced Reporting & Visualization Design and implement interactive dashboards and reports using tools like Power BI, Tableau, or Qlik. Create and deliver professional PowerPoint presentations summarizing key findings and actionable recommendations . Support Inside Sales Efforts: Use data insights to optimize inside sales strategies, ensuring that the sales team has access to high-quality leads and relevant market data. Conduct segmentation analysis, targeting, and scoring to improve sales efficiency. Key Competencies Advanced Data Analytics Skills: Strong background in data analytics, predictive modeling, and machine learning. Ability to apply statistical and algorithmic methods to analyze and predict trends. Technical Proficiency: Expertise in data extraction, automation, AI, and machine learning platforms. Proficiency in tools such as Python, R, SQL, and cloud platforms for large-scale data processing and analysis. Salesforce Experience: Proficiency in analyzing and leveraging Salesforce data to extract business insights, enhance lead generation, and optimize sales processes. Automation & Web Scraping : Expertise in using automation tools and web scraping techniques to collect data from external sources and industry reports. Business Acumen & Insight Generation: Strong ability to translate data insights into actionable business strategies, particularly to optimize sales, marketing, and competitive positioning Responsibilities Qualifications ESSENTIAL QUALIFICATION: Bachelors degree in Data Science, Business Analytics, Marketing, or related fields. Additional certifications in AI, machine learning, or data analytics platforms preferred.

Job description Role: Generative AI Developer Experience: 4 to 10 Years Location: Hyderabad Work Mode: Hybrid Total 4 Rounds includes HR(Any 1 Round F2F is Mandatory) Notice Period: Immediate to 15 Days Jioners only Job Description Job Summary: We are seeking a proactive and innovative developer with up to 6 years of industry experience. The ideal candidate will work at the intersection of generative AI, machine learning, and backend API development using Python and modern frameworks like FastAPI and Flask. In this role, you'll be responsible for developing and deploying scalable machine learning models, preparing and processing data, and building robust API services that integrate advanced AI solutions into production environments. Key Responsibilities: Generative AI & Machine Learning: Develop, implement, and fine-tune generative AI models and machine learning algorithms for real-world applications. Collaborate with data scientists and other team members to translate research into production-ready code. Data Preparation & Processing: Clean, preprocess, and transform large datasets to support training, validation, and inference tasks. Optimize data pipelines to ensure efficient data flow and resource utilization. Backend API Development: Design, build, test, and maintain RESTful APIs and backend services using Python frameworks such as FastAPI and Flask. Ensure high performance and responsiveness of applications, incorporating best practices in API design and microservices architecture. Collaboration & Code Quality: Participate in agile development cycles, code reviews, and collaborative problem-solving sessions. Document technical processes and maintain high standards of code quality, security, and scalability. Continuous Improvement & Innovation: Stay current with industry trends in AI, machine learning, and backend development to continually improve system performance and capabilities. Experiment with new tools and frameworks to drive innovation within the team. Required Qualifications & Skills: Educational Background: Bachelor?s (or higher) degree in Computer Science, Engineering, Mathematics, or a related field. Experience: Up to 6 years of professional experience in software development, with hands-on involvement in machine learning and backend API development projects. Technical Proficiency: Strong expertise in Python programming. Demonstrated experience with FastAPI, Flask, or similar Python-based web frameworks. Solid understanding of machine learning algorithms, generative AI techniques, and data preparation methods. Familiarity with data processing libraries such as Pandas and NumPy. Experience using version control systems (e.g., Git) and agile methodologies. Analytical & Problem-Solving Skills: Ability to analyze complex problems, develop innovative solutions, and work effectively in a team-oriented environment. Preferred Skills & Experience: Experience with deep learning frameworks like TensorFlow or PyTorch. Familiarity with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes). Exposure to cloud platforms such as AWS, GCP, or Azure for deploying machine learning models and APIs. Understanding of microservices architecture and CI/CD pipeline implementation. Strong verbal and written communication skills, with a keen interest in continuous learning and self-improvement. Mandatory Skills Gen AI Developer, Machine Learning, Python

Key Responsibilities. Collaborate with data scientists to support end-to-end ML model development, including data preparation, feature engineering, training, and evaluation.. Build and maintain automated pipelines for data ingestion, transformation, and model scoring using Python and SQL.. Assist in model deployment using CI/CD pipelines (e.g., Jenkins) and ensure smooth integration with production systems.. Develop tools and scripts to support model monitoring, logging, and retraining workflows.. Work with data from relational databases (RDS, Redshift) and preprocess it for model consumption.. Analyze pipeline performance and model behavior; identify opportunities for optimization and refactoring.. Contribute to the development of a feature store and standardized processes to support reproducible data science.. Required Skills & Experience. 1-3 years of hands-on experience in Python programming for data science or ML engineering tasks.. Solid understanding of machine learning workflows, including model training, validation, deployment, and monitoring.. Proficient in SQL and working with structured data from sources like Redshift, RDS, etc.. Familiarity with ETL pipelines and data transformation best practices.. Basic understanding of ML model deployment strategies and CI/CD tools like Jenkins.. Strong analytical mindset with the ability to interpret and debug data/model issues.. Preferred Qualifications. Exposure to frameworks like scikit-learn, XGBoost, LightGBM, or similar.. Knowledge of ML lifecycle tools (e.g., MLflow, Ray).. Familiarity with cloud platforms (AWS preferred) and scalable infrastructure..

About the Role #JLLTechAmbitions We are seeking a highly skilled and innovative Senior AI/ML Software Engineer to join our cutting-edge team working on Agentic AI, AI/Machine Learning, and Large Language Models (LLMs). In this role, you will be at the forefront of developing intelligent, autonomous systems that can perceive, learn, and act in complex environments, with a strong focus on LLMs and their applications. The JLL Technologies Insights & Data team aims to bring successful technology-based products to market in a high-growth environment. The team's mission is focused on accelerating technology adoption in commercial real estate by bringing creative, innovative and technical solutions to solve large, complex problems for our clients. Shape the future of real estate for a better world by contributing to the creation of globally scalable products used by JLLs client customers the most respected brands in the world. Experience & Education Bachelor's degree in AI/ML or Computer Science or related discipline. Advanced degree preferred. 6 months+ of experience. Can design, develop, and implement advanced AI and ML algorithms, focusing on agentic AI systems that can operate autonomously and adapt to changing environments. Strong experience in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew etc. Strong experience in Python, PyTorch, integration with backend systems, experience with RESTAPI or similar frameworks for API development. Reliable, self-motivated and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment. Capable of rapid self-learning of new software applications and programming languages. Effective written and verbal communication skills, including technical documentation. Excellent technical, analytical, time management, and organizational skills Requires excellent collaboration, presentation and communication skills. Technical Skills & Competencies Strong proficiency in Python, PyTorch and preferably PySpark. Strong proficiency in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew, TensorFlow, scikit-learn etc., good proficiency in prompt engineering. Strong proficiency in LLMs, LangChain or similar frameworks for building LLM-powered applications, advanced natural language processing techniques, graph neural networks and knowledge graphs. Strong understanding of machine learning algorithms, deep learning, and reinforcement learning techniques. Strong understanding of integration of Gen AI applications with with backend systems. Good in developing and consuming RESTful APIs. Nice to have: Good knowledge in DW/BI, Data Engineering and/or Data Science using different tools and in different domains. Nice to have: Good knowledge of GitHub, CI/CD, Agile methodologies and tools.

Category Engineering Experience Associate Primary Address Bangalore, Karnataka Overview Voyager (94001), India, Bangalore, Karnataka Associate Software Engineer At Capital One, we think big and do bigger things. We were the first company to develop and offer mass customization and personalization of credit card, auto loans and other financial services products, and we have been innovating relentlessly ever since. Today, we are a progressive financial services powerhouse spanning Credit Cards, Auto Loans, Savings, and Commercial Banking and at the same time a high-tech company, a scientific laboratory, and a well-recognized brand all in one. We are a passionate and entrepreneurial team with heart – a team that embraces bold ideas, fosters collaboration, and delivers world-class products and services impacting over 65 million customer accounts. Still founder-led by Chairman and CEO Richard Fairbank, we dare to dream, disrupt and delivera better way for our customers, the financial industry and for each other. Our goal is simple – bring ingenuity, simplicity and humanity to an industry ripe for change. Capital One is the 6th largest US bank in consumer deposits, among the country’s top 5 Auto Lenders and a Fortune 500 company. Visit our website to learn more about who we are and what we do! At DataLabs, Capital One India, we solve fundamental business problems at scale usingadvanced analytics, data science and machine learning. We specialize in deriving valuable insights about various aspects of the business - including product and process design, consumer behavior, regulatory and credit risk, and much more - from large volumes of data to build cutting edge patentable products at an industrial scale. At DataLabs, you will work in a fast paced and intellectually rigorous environment. You will apply strategic and analytical skills to major business challenges. You will have the opportunity to learn and build deep expertise in the core areas of advanced analytics, industrial-scale product designand development, data science and machine learning. And you will do it all in a collaborative environment that values problem solving, encourages creativity, promotes learning, and rewards innovation. DataLabs prides itself on its exceptionally vibrant culture. Our Associate Development program enables us to shape amazing career and professional development opportunities for our associates. Our best-in-class Corporate Social Responsibility program has nurtured longstanding partnerships with committed organizations that make a meaningful difference to the communities around us. The enthusiastic volunteerism of our associates is the backbone of all that we do - it enables us to push the envelope of possibilities and have incredible fun along the way. We bend backwards to take care of one another through thick and thin. Our work and the people we are surrounded by are an enduring source of strength and fulfillment in our lives. What You’ll Do: Write well designed, testable, efficient code. Follow software development best practices in an AWS cloud environment. Utilize engineering practices like pair programming, TDD, ATDD, CI/CD, and Refactoring techniques Bring a passion to stay on top of tech trends, experiment with and learn new technologies Write simple to complex backend or middle layer or front-end services utilizing Java, SQL or NoSQL database, Python, Angular, Lit and Amazon Web Services Possible exposure to Big Data (Spark and Scala) and Machine Learning (ML) Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the box thinking, teamwork, self-organization, and diversity Come up with the estimation for the identified tasks and deliver through the deadline. Qualifications Knowledge of anyone programming language and willingness to learn other programming languages Degree in Engineering, preferably Computer Science Optional- Knowledge in frameworks like Spring boot, Relational/NoSQL DB, Message queues Excellent problem-solving skills No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). This carousel contains a column of headings. Selecting a heading will change the main content in the carousel that follows. Use the Previous and Next buttons to cycle through all the options, use Enter to select. This carousel shows one item at a time. Use the preceding navigation carousel to select a specific heading to display the content here. How We Hire We take finding great coworkers pretty seriously. Step 1 Apply It only takes a few minutes to complete our application and assessment. Step 2 Screen and Schedule If your application is a good match you’ll hear from one of our recruiters to set up a screening interview. Step 3 Interview(s) Now’s your chance to learn about the job, show us who you are, share why you would be a great addition to the team and determine if Capital One is the place for you. Step 4 Decision The team will discuss — if it’s a good fit for us and you, we’ll make it official! How to Pick the Perfect Career Opportunity Overwhelmed by a tough career choice? Read these tips from Devon Rollins, Senior Director of Cyber Intelligence, to help you accept the right offer with confidence. Your wellbeing is our priority Our benefits and total compensation package is designed for the whole person. Caring for both you and your family. Healthy Body, Healthy Mind You have options and we have the tools to help you decide which health plans best fit your needs. Save Money, Make Money Secure your present, plan for your future and reduce expenses along the way. Time, Family and Advice Options for your time, opportunities for your family, and advice along the way. It’s time to BeWell. Career Journey Here’s how the team fits together. We’re big on growth and knowing who and how coworkers can best support you.

About the Job The Director of Special Projects is a strategic leadership role responsible for delivering insights and analytics to the C-Suite and management teams. This role is pivotal in shaping and enhancing customer experience (CX) outcomes for our clients and internal business units. It focuses on synthesizing data from various sources to deliver actionable insights, strategies, and recommendations that drive improved CX performance and operational efficiency. The successful candidate will be adept at translating complex data into clear narratives that inform both external client partnerships and internal leadership objectives. As Director of Special Projects, You Will Curate insights by analyzing diverse data sets, including disposition data, operational metrics, workforce metrics, analyst reports, internet research, and AI-generated intelligence. Identify trends, opportunities, and improvement areas to help clients strengthen customer relationships and elevate their brand reputation. Support client CX leaders in defining and implementing strategies to enhance customer satisfaction, loyalty, and advocacy. Present focused, data-driven recommendations during regular client engagements, offering candid and objective insights with professionalism and impact. Provide senior business unit leaders and CX teams with clear, concise performance analysis across key CX metrics, such as CSAT, NPS, FCR, VOC, as well as operational efficiency metrics like AHT, CPC, and utilization rates. Identify underperforming areas and recommend evidence-based strategies to improve both customer experience and operational KPIs. Collaborate with internal stakeholders, including QA, reporting analysts, and real-time analysts, to ensure insights and recommendations align with broader program goals. Serve as the driving force behind superior performance analytics, moving beyond traditional reporting to offer predictive and diagnostic insights that anticipate challenges and opportunities. Leverage existing resources and toolssuch as QA frameworks, real-time insights, and performance dashboardsto build holistic strategies that optimize service delivery and customer outcomes. Collaborate with AI and analytics platforms to unlock deeper intelligence and provide innovative solutions. As Director of Special Projects, You Have Bachelors degree in Business, Data Analytics, Customer Experience, or a related field. Advanced degrees or certifications in CX, Analytics, or Process Optimization are an asset. 10+ years of experience in data analysis, customer experience strategy, or consulting roles focused on performance improvement. Proficiency in data tools (e.g., Excel, BI platforms, or AI analytics tools) and experience with customer experience reporting and dashboards. An ability to interpret large and diverse data sets, identifying key trends and translating them into actionable strategies. An exceptional ability to present insights in a structured, impactful manner to both client stakeholders and senior internal leaders. A strong understanding of CX performance metrics (CSAT, NPS, FCR, VOC) and efficiency metrics (AHT, CPC), as well as their impact on client success. Experience working within cross-functional teams, with the ability to partner effectively with QA, workforce analysts, and business leaders. Familiarity with AI and data visualization tools to enhance insights and reporting.

Responsibilities: Design, develop & maintain AI/ML models using Python, AWS & OpenCV. Collaborate with cross-functional teams on NLP projects. Optimize performance through data analysis with Pandas & Scikit-Learn. Health insurance Annual bonus

Kovai.co is a catalyst, sparking a revolution in the world of enterprise software and B2B SaaS, we are a technology powerhouse delivering best-in-class enterprise software and game-changing SaaS solutions across industries. At Kovai.co , we're rewriting the B2B landscape by empowering over 2,500 businesses worldwide with our award-winning SaaS solutions. Our Products: Biztalk360 Turbo360 Document360 “UK headquarters. Indian innovation. Global impact.” Our journey has been nothing short of remarkable, having witnessed exponential growth and profitability right from our inception. We are on track towards $30 million in annual revenue – and we're just getting started. Kovai.co is fueled by a tribe of thoughtful helpers, obsessed with empowering customers, uplifting colleagues, and igniting our own journeys. Redefining tech is our game. Are you in? Join Kovai.co – where passion meets purpose. What's the job: Data Scientist What you’ll do on the job: Understand business problems and formulate hypothesis Collecting and interpreting data, analyzing results, identifying patterns and trends in large data sets Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data Build custom machine learning models for various use-cases such as recommendation, insight generation, forecasting, anomaly detection, and so on Performing data quality checks for quality assurance Build data pipelines to supply quality data to machine learning model in production environment Supports innovative analytical thinking & solutions that results into improved business performance Writing reports based on insights gained from exploratory data analysis and able to articulate it to product owner Practice industry well-known Machine Learning Framework and best practices Who’ll be a good fit: Proven working experience of 2+ years as a Data Scientist Strong in mathematics - statistics, probability, linear algebra, time series Proficiency in working with large datasets and data wrangling using SQL (Structured Query Language) Familiar with tools such as JuPyteR, Tensorflow ,Python , Azure ML, Prophet (Open source software), MS SQL Server Working knowledge of applied machine learning techniques such as regression, clustering, forecasting of time-series data and Classification models Proficiency in LSTM, hypothesis testing and supervised learning / unsupervised learning. Familiarity with all aspects of the analytical cycle such as data wrangling and visualisation, feature engineering, and model building Write scalable scripts to fetch or modify data from API endpoints Exposure to cloud technology is preferred (Azure) Excellent critical thinking, verbal, and written communication skills Equal Opportunities: Kovai.co is committed to building a workforce that reflects the richness of our society. We believe in fostering a culture of belonging and respect for all. Kovai.co stands firmly against discrimination, ensuring equal opportunity for everyone to build a successful career.

We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. Responsibilities Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers. Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team. Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred. Excellent software engineering and programming skills, especially Python and SQL. A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions. A deep understanding of using cloud computing infrastructure and data pipelines in production. Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher. The drive to make a positive impact on customers' lives.