863 Feature Engineering Jobs - Page 13

Location: Bangalore,HSR CTC Range: 45 to 55 LPA or depends on last drawn, whichever is lower as per market standards About Us We are a high-growth startup building products at scale that impact millions of users daily. As we prepare for the next phase of growth, data will be at the heart of every decision powering product, marketing, operations, and finance. We are looking for a Director of Analytics to lead the charge in shaping our data strategy, building scalable infrastructure, and creating a high-performing analytics organization. Role & Responsibilities As the Director of Analytics, you will: Lead the next generation of our Data Mart: Redesign and optimize data models to support large-...

Experience: 5 to 8 years Location: Bengaluru, Gurgaon, Pune Job code: 101359 Posted on: Oct 31, 2025 About Us AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors. We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you're passionate about technology and thrive in a fast-paced environment, we want to hear fro...

o Strong proficiency in Python programming. o Hands-on experience with Machine Learning algorithms and frameworks (Scikit-learn, TensorFlow, Keras). o Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

About The Role Requirements: 2–8 years of experience in AI/ML, backend data engineering, with some experience leading projects or small teams preferred. Strong expertise in Python, with extensive experience in data manipulation, ML frameworks, and productionizing code. Practical experience building and fine-tuning LLMs for various NLP applications. Solid grasp of NLP concepts:tokenization, embedding, text classification, NER, sentiment analysis, etc. Familiarity with agentic development (e.g., agent frameworks, multi-agent collaboration, task orchestration). Experience with common data science and ML tools/libraries:Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers....

About The Role Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: I&F Decision Sci Practitioner Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song"” all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more t...

About The Role Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: I&F Decision Sci Practitioner Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song"” all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more t...

About The Role Skill required: Tech for Operations - Technology Architecture Designation: AI LLM Technology Architecture Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song"” all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than ...

About The Role Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Machine Learning Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your typical day wil...

Summary Are you excited at the opportunity to electrify and decarbonize the world?We are looking for a passionate, creative, and results-driven Data Scientist with solid experience in developing and validating AI/ML models, typically gained through at least 5 years working within the energy sector or related domains such as smart infrastructure or industrial automation. The ideal candidate has a strong track record of independently leading and delivering AI/ML model projects in complex, data-rich environments, requiring someone who can drive innovation from concept to production.As part of the Grid Automation organization, you will be at the forefront of developing, testing, and validating c...

About The Role Skill required: Tech for Operations - Technology Architecture Designation: AI LLM Technology Architecture Sr Mgr Qualifications: Any Graduation Years of Experience: 16 to 25 years Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song"” all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 1...

About The Role Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Machine Learning Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your typical day wil...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Microsoft Azure OpenAI Service Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools...

About The Role Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Machine Learning Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, your typical day will involve analyzing, designing, coding, and testing various components of application code for multiple clients. You will engage in maintenance and enhancement...

About The Role Skill required: Tech for Operations - Technology Architecture Designation: AI LLM Technology Architecture Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song"” all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than ...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI serv...

We are looking for a skilled AI Developer with 2 to 4 years of experience to join our team in a remote setup. The ideal candidate will have a strong background in building innovative AI-based applications and contributing to cutting-edge technology solutions. Roles and Responsibility Develop, implement, and maintain advanced AI algorithms and models. Collaborate with cross-functional teams to integrate AI solutions into our application. Optimize and fine-tune models for performance, scalability, and efficiency. Continuously research and stay updated with the latest advancements in AI/ML technologies. Write clean, maintainable, and efficient code. Troubleshoot and debug AI models and systems....

As an AI Engineer with Python at Artmac Soft, your role involves utilizing your 0-1 year of experience in AI engineering with a focus on Python programming. You are expected to have knowledge of Cursor AI, Render, and CloudFlare, along with proficiency in Python libraries and frameworks like TensorFlow, PyTorch, sci-kit-learn, NumPy, and pandas. Your responsibilities include a strong understanding of machine learning algorithms and deep learning architectures, experience with cloud platforms (AWS, GCP, Azure), and containerization tools such as Docker and Kubernetes. You will be working on CI/CD pipelines, MLOps practices, NLP, computer vision, distributed computing, big data technologies, a...

Define organizational AI strategy Lead a dynamic team and work in a fast paced environment Job Description As the AI lead, you will be responsible for - . Define and execute the AI / GenAI strategy for Operations, Risk, Underwriting & Claims, and Customer Service functions. . Partner with business heads to identify high-value GenAI use cases and prioritize by ROI, speed-to-value and regulatory sensitivity. . Act as the chief evangelist for Generative AI - educate stakeholders, run pilots, and drive scaled adoption while ensuring safety and compliance. . Establish robust frameworks to track and communicate the value and ROI of AI initiatives to all stakeholders. . Lead design and delivery of ...

Job Purpose: To scale the organizations analytical capabilities by transforming raw data into actionable insights. The role focuses on identifying business opportunities through data, improving customer experiences, and driving process optimization using analytical tools and techniques. Key Responsibilities: Organize, process, and analyze large datasets across multiple platforms. Build and deploy machine learning models and data-driven solutions. Identify key insights to influence business and product strategy. Collaborate with cross-functional teams to design and implement analytics frameworks. Develop proof of concepts to validate new models and hypotheses. Present clear and concise insigh...

Senior Software Engineer Communications Intelligence & Platform Systems What You'll Do Operationalize and deploy machine learning models built by Data Science teams using robust MLOps practices , including CI/CD pipelines, model versioning, monitoring, and rollback strategies , Feature Engineering, orchestrate ETL processes, manage data processing pipelines , and automate machine learning workflows Manage model deployment lifecycles , ensuring production-grade reliability, scalability, and observability of model-driven services integrated into communication decisioning systems. Design and build large-scale communication and personalization platforms that deliver intelligent, event-driven not...

Job Description First Line of Defense, including Model Development, Model Monitoring, Recalibration, Model Tuning. Develop Regulatory Capital Models compliant with Basel III/IV standards and IRB approaches. Estimate PD, LGD, EAD, and Prepayment for retail (Credit Cards, Residential Mortgage, HELOC, etc.) and wholesale (Commercial and Industrial, Commercial Real Estate, etc.) portfolios. Develop and calibrate models for predicting Expected Credit Losses under US GAAP's CECL and IFRS 9 standards. Integrate forward-looking perspectives, scenario weightings, lifetime loss parameters, and macroeconomic linkages. Develop and maintain Underwriting and Origination Models including classification mod...

As an AI/ML Engineer at our company, you will play a crucial role in designing, developing, and optimizing machine learning models and algorithms to address complex problems. Your responsibilities will include collaborating with data scientists and software engineers, integrating models into production systems, analyzing large datasets, and enhancing model performance. You will also need to stay updated on the latest advancements in AI and ML technologies, while documenting and maintaining AI/ML/CV models and processes. The ideal candidate should possess a solid foundation in machine learning algorithms, be proficient in Python, and have practical experience with deep learning frameworks lik...

Design, develop, and deploy machine learning models, deep learning Implement NLP techniques for text analytics, chatbots, and digital assistants.. Hands-on experience with AI/ML frameworks . Experience with cloud AI platforms (AWS , Azure, OCI)

About the Job The Data And AI team is a highly focused effort to lead digital-first execution and transformation at Red Hat leveraging data & AI strategically for our customers, partners, and associates. The engineering team is focused on building and delivering strategic AI agents & MCP Servers built on our Data & AI platform, designed to augment human capabilities, accelerate business workflows, and scale operations across the enterprise. In this role, you'll take ownership of end-to-end ML systems, champion best practices, and deliver impactful, production-grade models. Youll work autonomously, mentor others, and collaborate with data, engineering, and product teams to bring AI & agentic ...

You will be responsible for developing and maintaining AI/ML-based applications using Python. Your key responsibilities will include: - Designing, building, and deploying machine learning models and algorithms. - Working with large datasets, data preprocessing, feature engineering, and model tuning. - Integrating ML models into production-ready systems and applications. - Collaborating with data scientists, engineers, and business teams to understand requirements and deliver solutions. - Optimizing and scaling ML models for performance and accuracy. - Staying updated with the latest AI/ML trends, tools, and technologies. You should have the following qualifications: - 5 to 7 years of experie...