774 Ml Algorithms Jobs

Job Title : AI-Enabled Data Engineer (Azure | Teradata | Snowflake | Databricks) Experience Level : Mid-Level (5+ Years) Job Summary : We are looking for a dynamic and experienced Data Engineer with a strong foundation in SQL and hands-on expertise in Teradata, Snowflake, and Databricks, operating within Azure cloud environments. The ideal candidate will also have exposure to AI/ML technologies and be capable of integrating intelligent solutions into modern data platforms. This role is critical in building scalable data solutions that support advanced analytics and AI-driven insights. Key Responsibilities : Develop and optimize complex SQL queries across Teradata, Snowflake, and Databricks p...

Role & responsibilities: Must Have Skills Artificial Intellige.. Secondary Skills N/A Job Description Overview We are looking for a Generative AI Engineer who specializes in building, integrating, and deploying advanced GenAI systems. The ideal candidate has hands-on experience with large language models, Retrieval-Augmented Generation (RAG), multi-agent AI systems, vector databases, and cloud AI platforms. This role focuses on designing intelligent, production-grade GenAI solutions that power next-generation applications. ________________________________________ Key Responsibilities Generative AI Development Build and deploy applications powered by state-of-the-art LLMs, including GPT, Llam...

As a Senior Python & AI Developer, you will be responsible for the following: - Strong proficiency in Python and web frameworks such as Django, Flask, and FastAPI. - Hands-on experience with SQL, MongoDB, and PL/SQL. - Proficiency in GenAI including AI powered chatbot, LLM based application, and AI Models, as well as NLP & ML algorithms. - Experience with ML libraries such as Tensorflow, PyTorch, or Scikit learn. - Optional experience with the PowerBI reporting tool. - Hands-on experience with AWS services or other cloud platforms like Azure or GCP. - Strong knowledge of performance tuning and problem-solving skills. Qualifications required for this role: - Minimum 5 years of experience in D...

We are seeking a skilled and passionate AI Trainer to deliver high-quality training in Generative AI, Machine Learning (ML), and Deep Learning (DL) . This part-time role is ideal for AI professionals, researchers, or practitioners who enjoy teaching, mentoring, and shaping future AI talent while continuing their professional careers. The trainer will conduct live sessions, workshops, and hands-on labs , helping learners gain practical, job-ready AI skills aligned with real industry use cases. Key Responsibilities Training & Instruction Deliver live online/offline training sessions on: Generative AI (LLMs, Prompt Engineering, RAG, AI Agents) Machine Learning (Supervised, Unsupervised, Model E...

As a Senior Tech Lead specializing in AI/ML at Meithee Tech, you will play a crucial role in leading AI and machine learning projects. Your responsibilities will include developing and implementing algorithms, providing technical guidance to the team, data analysis, model training, and performance optimization. Key Responsibilities: - Lead AI and machine learning projects - Develop and implement algorithms - Provide technical guidance to the team - Conduct data analysis, model training, and performance optimization Qualifications: - Minimum 7+ years of programming experience - Strong understanding of Core Programming concepts and System Architecture - Minimum 5+ years of experience in Full S...

We are looking for a highly experienced Senior Machine Learning Engineer with 10+ years of combined experience in software engineering and machine learning. This role requires end-to-end ownership of scalable ML model developmentspanning data preparation, feature engineering, model training, deployment, and optimization in production. The ideal candidate excels at building robust ML systems, collaborating with cross-functional teams, and delivering high-performance machine learning solutions at scale. Key Responsibilities Design, build, and deploy machine learning models along with complete end-to-end ML pipelines. Engineer high-quality features and manage large, complex datasets for model t...

Job Title: GenAI Trainer Location: Kolkata Experience: 2-3 Years Department: AI & Data Platform Type: Full-time Role Summary We are looking for a GenAI Trainer who can train teams and enterprise clients on how to effectively use Generative AI, LLM tools, prompt engineering, and AI-driven workflows. You will create training content, conduct workshops, deliver demos, and help users understand how to use AI confidently in their daily work. This role is perfect for someone who is passionate about AI and enjoys teaching, enabling, and helping others adopt new technology . Key Responsibilities 1. GenAI Training Delivery Conduct training sessions on: Generative AI fundamentals LLMs (GPT, Claude, Ge...

Data Science Senior Advisor MMX Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. Whats more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Data Science Senior Advisor on ou...

The Applied Machine Learning Specialist will be responsible for researching, designing, and deploying advanced machine learning and deep learning models that address real-world challenges and drive innovation across products and services. The role focuses on optimizing neural network architectures, building intelligent systems, and developing scalable solutions in areas such as Natural Language Processing (NLP), neural network efficiency, and model automation. The specialist will collaborate closely with cross-functional teams, including researchers and engineers, to transform cutting-edge AI research into production-ready applications. Duties & Responsibilities: Research and Model Optimizat...

Role & responsibilities - Fine-tune and optimize foundation models for agent tasks - Implement RAG and memory systems - Develop evaluation pipelines for model performance - Prepare datasets for training and inference - Integrate models into agent frameworks - Research continual learning techniques Preferred candidate profile - Fine-tune and optimize LLMs for agent-specific tasks - Implement retrieval-augmented generation and memory systems - Develop pipelines for model evaluation and monitoring - Collaborate on dataset preparation and integration - Research and apply continual learning techniques - Expertise in LLMs (OpenAI, HuggingFace), ML frameworks (PyTorch, TensorFlow) - Familiarity wit...

Role & responsibilities Hybrid Models -Develop hybrid models that blend physics/domain knowledge and statistical learning. Simulations and Optimization - Simulating various scenarios for optimization using hybrid/ ML / Statistical models. Preferred candidate profile Hands on experience developing, validating, and implementing statistical & ML models. Proficient with Python for data handling, algorithm development and model building. Familiarity with SQL and NoSQL databases. Familiarity with Cloud based environments. (Preferred AWS). Proven track record on coding platforms e.g., top percentile or strong rating on LeetCode, Codeforces, HackerRank, or Kaggle competitions. Comfortable working in...

We are seeking a Data Scientist AI/ML with a strong background in Data Analytics and Agile delivery to drive strategic AI/ML initiatives across cross-functional teams. The ideal candidate will have hands-on experience managing complex analytics programs, guiding technical decisions, mentoring junior teams, and driving business outcomes through data-driven decision-making. Experience - 7-12 years Location - Pan India- Apexon Key Responsibilities: Design and implement scalable data architectures to support LLM (Large Language Model) training, fine-tuning, and deployment. Lead the development of Agentic AI systems integrating reasoning, memory, and planning capabilities. Collaborate with ML Eng...

Role Overview: As a Consultant in the S&C Global Network AI team at Accenture, specifically in the CFO & EV FinOps Analytics domain, you will be responsible for driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Your role will involve providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. Key Responsibilities: - Lead client engagements encompassing model development, validation, governance, strategy, transformation, and end-to-end delivery of FinOps & CFO agenda solutions for Accenture's clients. - Advise clients on various...

As an AI Enabled Automation Developer Senior at EY, you will have the opportunity to build a unique career with global support, an inclusive culture, and cutting-edge technology to unlock your full potential. Your distinct voice and perspective are essential in contributing to EY's continuous improvement. Join us to create an exceptional experience for yourself and contribute to building a better working world for all. **Responsibilities:** - Develop and implement AI-enabled automation solutions in alignment with business objectives. - Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals to showcase the potential of AI-enabled automation appl...

Role Overview: At PE, we are focused on building applications where financial decisions are driven by data, adaptive, and tailored to specific domains. We leverage AI/ML to extract hidden patterns from vast amounts of data across different industries, aiming to enhance businesses and improve overall quality of life. Key Responsibilities: - Utilize AI to identify patterns and correlations that are deeply embedded within Big Data. - Develop an AI system capable of selecting the optimal response from millions of potential options across various scenarios, ranging from capital markets to healthcare. - Ensure the accuracy of our platform by consistently evaluating and improving the predictions we...

As a Data Architect with 12+ years of experience, you will play a crucial role in leading the design and implementation of modern data platforms to support AI/ML, Analytics, NLP, and GenAI workloads. Your expertise in data architecture, technical skills, and leadership abilities will be instrumental in shaping the data strategy of the company. **Key Responsibilities:** - **Architectural Leadership:** - Design and implement scalable, secure, and high-performance data architectures for AI/ML, analytics, and real-time data processing. - Architect data platforms for ML experimentation, training, and deployment across various domains like classical ML, deep learning, NLP, and GenAI. - Lead the de...

About the Role The ML Developer will design, build, and maintain machine learning models and data pipelines powering core business use cases. The role is hands-on with Python for model development, feature engineering, and pipeline automation, leveraging Azure ML, and Azure DevOps. Success means robust, production grade models with proven business impact, traceable lineage, and operational excellence at scale. Role & responsibilities Feature Engineering & Model Development - Translate model prototypes from Data Scientists into Azure ML production pipelines, including data ingestion, training, inference, and retraining. - Build and iterate on ML models (forecasting/classification/regression) ...

Basic Qualifications Experience: 4+ years. Hands-on development experience playing the role of Data Analyst and/or ML Engineer. Experience in working with excel for data analytics Experience with statistical modelling of large data sets Experience with ML models and ML algorithms Coding experience in Python Nice to have Qualifications Experience with wide variety of tools used in ML Experience with Deep learning Benefits Competitive salary. Hybrid work model.

Role Overview: You will be joining the Lifecycle Innovation and Optimization (LIO) team at Cisco, specifically the Cisco.com Engineering team. Your primary focus will be on crafting a top-tier digital experience for customers and partners interacting with the Cisco.com website. You will be at the forefront of developing modern technologies and integrating artificial intelligence tools to ensure agility and adaptability in the constantly evolving market. Key Responsibilities: - Develop and implement solutions for business problems related to Cisco.com and web platforms, and provide operational support - Ensure code quality assurance, provide design and architectural guidance, conduct code rev...

Job Title: AI/ML Engineer Senior Level Location: Chennai (Ambattur) Employment Type: Full-time, Permanent Job Description: We are hiring a Senior AI/ML Engineer to lead projects in Deep Learning, Generative AI, and Agentic AI. The candidate should be experienced in developing advanced ML models, integrating APIs, and deploying solutions in cloud and containerized environments. Skills Required: Domain: Machine Learning / Deep Learning / Generative AI / Agentic AI Framework / Library: scikit-learn, PyTorch or TensorFlow / Keras, Transformers, LangGraph, Hugging Face, RAG / Graph RAG / n8n Programming Languages: Python (Data Structures & Algorithms), Bash scripting Optional Language: R / C++ Li...

What you can look forward to as Senior Data Scientist -AI/ML (m/f/d): Conduct cutting-edge research to identify and develop novel AI/ML methodologies, including Deep Learning (DL) and Reinforcement Learning (RL). Design and conduct experiments to test hypotheses, validate new approaches, and compare the effectiveness of different ML algorithms. Analyze data to uncover hidden patterns and relationships that can inform the development of new AI techniques. Stay at the forefront of the field by keeping abreast of the latest advancements in algorithms, tools, and theoretical frameworks. This might involve researching areas like interpretability of machine learning models or efficient training me...

Perform exploratory data analysis (EDA), visualize data, and evaluate and select appropriate ML algorithms for solving specific challenges Manage data acquisition processes, identify relevant datasets, and oversee data preprocessing and feature engineering Train, optimize, and deploy machine learning models, ensuring scalability, reliability, and performance Implement robust monitoring and validation strategies to maintain model accuracy and efficiency in production environments Demonstrate deep understanding of AI/ML applications, including integration with business processes and operational systems Mentor junior team members, providing technical guidance and fostering a culture of innovati...

Role Overview: You will be part of a team that is dedicated to developing custom silicon solutions for Google's direct-to-consumer products, pushing boundaries and shaping the future of hardware experiences. Your expertise will play a key role in delivering high-performance, efficient, and integrated hardware solutions. Key Responsibilities: - Develop front-end CAD tools and flows for Google Silicon SoC projects in various domains such as RTL generation, design verification, AI-enabled CAD flows, design QA and release management, and low power flows. - Collaborate with design teams to understand requirements and implement CAD solutions. - Collaborate across functional domains to enable the d...

You will be responsible for: - Designing, training, and evaluating machine learning models, optimizing for performance and scalability. - Developing efficient data pipelines, ensuring high-quality training and inference data. - Analyzing and comparing ML algorithms to determine the most effective approaches. - Exploring and visualizing data to identify patterns and insights. - Implementing feature engineering, data augmentation, and validation strategies. **Qualifications Required**: - Relevant experience in designing and evaluating machine learning models. - Proficiency in developing data pipelines and analyzing ML algorithms. - Strong skills in data visualization and feature engineering. -...

As a Senior Data Scientist with over 5 years of experience, you will have a significant impact on our team based in Indore/Pune. Your primary role will involve designing and implementing models, extracting insights from data, and interpreting complex data structures to support business decision-making. - Strong background in Machine Learning areas such as Natural Language Processing, Machine Vision, Time Series, etc. - Expertise in Model Tuning, Model Validation, Supervised and Unsupervised Learning - Hands-on experience with model development, data preparation, and deployment of models for training and inference - Proficiency in descriptive and inferential statistics, hypothesis testing, an...