253 Ml Algorithms Jobs

About Us: Planful is the pioneer of financial performance management cloud software. The Planful platform, which helps businesses drive peak financial performance, is used around the globe to streamline business-wide planning, budgeting, consolidations, reporting, and analytics. Planful empowers finance, accounting, and business users to plan confidently, close faster, and report accurately. More than 1,500 customers, including Bose, Boston Red Sox, Five Guys, Grafton Plc, Gousto, Specialized and Zappos rely on Planful to accelerate cycle times, increase productivity, and improve accuracy. Planful is a private company backed by Vector Capital, a leading global private equity firm. Learn more at planful.com . About the Role: We are looking for self-driven, self-motivated, and passionate technical experts who would love to join us in solving the hardest problems in the EPM space. If you are capable of diving deep into our tech stack to glean through memory allocations, floating point calculations, and data indexing (in addition to many others), come join us. Requirements: 5+ years in a mid-level Python Engineer role, preferably in analytics or fintech. Expert in Python (Flask, Django, pandas, NumPy, SciPy, scikit-learn) with hands-on performance tuning. Familiarity with AI-assisted development tools and IDEs (Cursor, Windsurf) and modern editor integrations (VS Code + Cline). Exposure to libraries supporting time-series forecasting. Proficient in SQL for complex queries on large datasets. Excellent analytical thinking, problem-solving, and communication skills. Nice to have: Shape financial time-series data: outlier detection/handling, missing-value imputation, techniques for small/limited datasets. Profile & optimize Python code (vectorization, multiprocessing, cProfile). Monitor model performance and iterate to improve accuracy. Collaborate with data scientists and stakeholders to integrate solutions. Why Planful Planful exists to enrich the world by helping our customers and our people achieve peak performance. To foster the best in class work were so proud of, we’ve created a best in class culture, including: 2 Volunteer days, Birthday PTO, and quarterly company Wellness Days 3 months supply of diapers and meal deliveries for the first month of your Maternity/Paternity leave Annual Planful Palooza, our in-person, company-wide culture Company-wide Mentorship program with Executive sponsorship of CFO and Manager-specific monthly training programs Employee Resource Groups such as Women of Planful, LatinX at Planful, Parents of Planful, and many We encourage our teammates to bring their authentic selves to the team, and have full support in creating new ERGs & communities along the way.

About Us: Celebal Technologies is a leading Solution Service company that provide Services the field of Data Science, Big Data, Enterprise Cloud & Automation. We are at the forefront of leveraging cuttingedge technologies to drive innovation and enhance our business processes. As part of our commitment to staying ahead in the industry, we are seeking a talented and experienced Data & AI Engineer with strong Azure cloud competencies to join our dynamic team. Job Summary: We are looking for a highly skilled Data Scientist with deep expertise in time series forecasting, particularly in demand forecasting and customer lifecycle analytics (CLV). The ideal candidate will be proficient in Python or PySpark, have hands-on experience with tools like Prophet and ARIMA, and be comfortable working in Databricks environments. Familiarity with classic ML models and optimization techniques is a plus. Key Responsibilities • Develop, deploy, and maintain time series forecasting models (Prophet, ARIMA, etc.) for demand forecasting and customer behavior modeling. • Design and implement Customer Lifetime Value (CLV) models to drive customer retention and engagement strategies. • Process and analyze large datasets using PySpark or Python (Pandas). • Partner with cross-functional teams to identify business needs and translate them into data science solutions. • Leverage classic ML techniques (classification, regression) and boosting algorithms (e.g., XGBoost, LightGBM) to support broader analytics use cases. • Use Databricks for collaborative development, data pipelines, and model orchestration. • Apply optimization techniques where relevant to improve forecast accuracy and business decision-making. • Present actionable insights and communicate model results effectively to technical and non-technical stakeholders. Required Qualifications • Strong experience in Time Series Forecasting, with hands-on knowledge of Prophet, ARIMA, or equivalent Mandatory. • Proven track record in Demand Forecasting Highly Preferred. • Experience in modeling Customer Lifecycle Value (CLV) or similar customer analytics use cases Highly Preferred. • Proficiency in Python (Pandas) or PySpark Mandatory. • Experience with Databricks Mandatory. • Solid foundation in statistics, predictive modeling, and machine learning

Design, develop, and deploy advanced machine learning models and algorithms. Work with large, complex datasets to extract meaningful insights. Collaborate with data scientists, engineers, and product teams to define ML requirements. Required Candidate profile Implement, train, and fine-tune deep learning models for NLP, computer vision, or other AI domains. Stay updated with the latest research in AI/ML and recommend relevant technologies.

Roles and Responsibilities Design, develop, test, and deploy AI-powered solutions using various technologies such as AIMl, Deep Learning, and Machine Learning. Collaborate with cross-functional teams to identify business problems and implement automation solutions using tools like Blue Prism, Uipath, or Automation Anywhere. Develop data analysis skills to extract insights from large datasets and provide recommendations for process improvements. Troubleshoot issues related to deployment automation and ensure seamless integration with existing systems. Desired Candidate Profile 0-1 year of experience in Artificial Intelligence Engineering or a related field. Strong understanding of AI algorithms, machine learning algorithms, and deep learning concepts. Proficiency in programming languages such as Python or Java; knowledge of C++ is an added advantage.

About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment. Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models, leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate. Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions, ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 4+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Hands-on experience with LLMs, GenAI, and RAG architectures. Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms, deep learning architectures, and NLP techniques. Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Perks & Benefits: Health and Wellness: Healthcare policy covering your family and parents. Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore) Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities. Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs. Rewards and Recognition's: Recognition and rewards programs in place to celebrate your achievements and contributions.

Job Title: Sr. Data scientist-Gen AI Location: Bangalore Experience: 4+ years About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment . Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models , leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate . Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon ) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions , ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 4+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers . Hands-on experience with LLMs, GenAI, and RAG architectures . Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms , deep learning architectures, and NLP techniques. Familiarity with cloud platforms ( AWS, GCP, or Azure ) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Perks & Benefits: Health and Wellness: Healthcare policy covering your family and parents. Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore) Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities. Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs. Rewards and Recognition&aposs: Recognition and rewards programs in place to celebrate your achievements and contributions. To find out more about us, head over to our Website and LinkedIn Show more Show less

Job Title: Sr. Data scientist-Gen AI Location: Bangalore Experience: 4+ years No. of openings: 2 About The Role We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation. You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment. Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models, leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate. Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions, ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications 4+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Hands-on experience with LLMs, GenAI, and RAG architectures. Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms, deep learning architectures, and NLP techniques. Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Perks & Benefits Health and Wellness: Healthcare policy covering your family and parents. Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore) Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities. Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs. Rewards and Recognition&aposs: Recognition and rewards programs in place to celebrate your achievements and contributions. To find out more about us, head over to our Website and LinkedIn. Show more Show less

Job Role: ML Engineer Skills Required: ML Engineer Strong Python programming skills Hands-on experience with TensorFlow, especially in training custom models/modules Experience working with OpenAI's Whisper ASR (Automatic Speech Recognition) model

We are looking for Data scientist who are interested to work from office 5 days a week . Location : Noida (Work from office) Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. Proven experience as a Data Scientist with 4-5 years of hands-on experience. Strong proficiency in Python programming, machine learning model development, and GenAI integration. Expertise in machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Knowledge of MLOps practices, including model versioning and containerization. Excellent data analysis and problem-solving skills with attention to detail. Effective communication and collaboration skills. Additional Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure, GCP). Familiarity with big data technologies (e.g., Apache Spark, Hadoop). Knowledge of deep learning techniques and neural networks. Previous involvement in end-to-end machine learning lifecycle projects with GenAI components. Interview Process : 1st level -Technical discussion 2nd Level in person discussion If Interested please share details to mounika.tungala@coforge.com Total Exp : Rel Exp with Python : Exp in Data science : current Location : CTC : Exp CTC : Notice Period : Availability for Interview : Ready to work from office :

Senior Data Scientist - AI/ML About the Team: ZF COE Team is effectively communicate complex technical concepts related to AI, ML, DL, and RL to both technical and non-technical audiences. This might involve presenting research findings at conferences or writing papers for academic journals. 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 methods for deep neural networks. Prototype and explore the potential of advanced machine learning models, including deep learning architectures like convolutional neural networks (CNNs) or recurrent neural networks (RNNs). Contribute to the development of fundamental algorithms and frameworks that can be applied to various machine learning problems. This may involve improving existing algorithms or exploring entirely new approaches. Focus on theoretical aspects of model design, such as improving model efficiency, reducing bias, or achieving explainability in complex models. Document research methodologies, experimental procedures, and theoretical contributions for future reference and knowledge sharing within the research community. Contribute to the development of the research team''s long-term research goals and strategies. Your profile as Senior Data Scientist- AI/ML(m/f/d): Master''s degree in Mathematics, Computer Science or other related technical fields. Phd is good to have. 8+ years of experience in research development, with a strong understanding of data structures and algorithms. 5+ years of experience building and deploying machine learning models in production. Proven experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with distributed computing systems and large-scale data processing. Excellent communication and collaboration skills. Contribution to invention disclosure process. A strong publication record in top machine learning conferences or journals.

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 Large Language Models Good to have skills NA Minimum 18 year(s) of experience is required Educational Qualification 15 years full time education SummaryAs an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of production-ready quality. You will apply GenAI models as part of the solution, incorporating deep learning, neural networks, chatbots, and image processing into your workday. Roles & Responsibilities- Expected to be a SME with deep knowledge and experience.- Should have influencing and Advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams.- Provide solutions to business area problems.- Contribute to the development of innovative AI/ML solutions.- Collaborate with cross-functional teams to implement AI models effectively.- Stay updated on the latest AI/ML trends and technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of AI/ML algorithms and techniques.- Experience with cloud AI services and application pipelines.- Knowledge of deep learning, neural networks, and image processing.- Hands-on experience in developing AI applications.- Familiarity with GenAI models and their application. Additional Information- The candidate should have a minimum of 18 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : Total 15 years of full time education Summary :As an AI/ML Architect, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Design, develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Ensure proper cloud or on-prem application pipeline with production-ready quality. Collaborate with cross-functional teams to ensure successful implementation of AI/ML solutions.Professional & Technical Skills: Must To Have Skills:Proficiency in Google Cloud Machine Learning Services. Good To Have Skills:Cloud Data Architecture, Cloud ML/PCA/PDE Certification. Strong understanding of AI/ML algorithms and techniques. Experience with deep learning, neural networks, chatbots, and image processing. Experience with cloud data architecture solutions. Experience with cloud or on-prem application pipeline with production-ready quality. Experience with integrating multiple services such as NLP, voice recognition, and third party APIs. Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. Additional Information: The candidate should have a minimum of 17 years of experience in Google Cloud Machine Learning Services. The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Bengaluru office. Qualification Total 15 years of full time education

We are looking for an experienced Data Scientist who is passionate about uncovering insights from data and delivering scalable data-driven solutions. The ideal candidate will have a strong foundation in machine learning, statistics, and programming, and will play a critical role in transforming complex datasets into actionable intelligence. Key Responsibilities: Design and implement machine learning models and data science solutions for predictive analytics, classification, and clustering problems. Collaborate with data engineers and software developers to deploy ML models in production environments. Conduct data wrangling, exploratory data analysis (EDA), and data visualization to identify trends and patterns. Build data pipelines and workflows using Python, SQL, or cloud technologies (e.g., AWS, Azure, GCP). Leverage large datasets from internal and external sources to create advanced analytics models. Communicate findings effectively to both technical and non-technical stakeholders. Key Skills / Keywords: Machine Learning Data Science Data Developer Statistical Analysis Data Mining Python / R SQL / NoSQL Big Data (Hadoop, Spark) Data Visualization (Power BI,Tableau, matplotlib, seaborn) Natural Language Processing (NLP) Deep Learning (TensorFlow,PyTorch) Cloud Platforms (AWS, Azure,GCP) Model Deployment Version Control (Git) CI/CD for ML Qualifications: Bachelors or master’s degree in computer science, Data Science, Statistics, Mathematics, or a related field. 3+ years of experience as a Data Scientist, ML Engineer, or Data Developer. Demonstrated success in building and deploying ML models. Preferred Attributes: Knowledge of MLOps, Kubeflow,or MLFlow. Experience with time series forecasting, recommendation engines, or anomaly detection. Contributions to open-source or published papers in data science journals.

As a backend developer, you will be responsible for leading and developing backend architecture, system design, and integration planning for all new and existing features. Your role will involve collaborating with stakeholders to translate business/product requirements into scalable technical solutions. Additionally, you will drive both backend and frontend development and coordination, as well as develop and update the mobile interface. In this role, you will design, manage, and optimize the PostgreSQL database schema and operations. You will also guide technical decision-making and provide mentorship to developers. Evaluating third-party APIs, tools, and infrastructure services for integration will be part of your responsibilities. Furthermore, you will be involved in building and deploying AI/ML models using modern frameworks for real-world applications. Your expertise in full stack development, proficiency in Node.js and React.js, experience with REST APIs, microservices, and cloud platforms like AWS, and strong background in databases such as PostgreSQL will be crucial in this position. A solid understanding of system design, software lifecycle, and agile methodologies, as well as proficiency in ML algorithms, will be essential. Experience in a fintech environment or with financial products will be a major plus for this role. Overall, you will play a key role in the development and maintenance of scalable systems, with a focus on backend architecture and AI/ML model deployment.,

As a Data Scientist with over 5 years of experience, you will be responsible for leveraging your strong analytical and problem-solving skills along with your programming knowledge to drive hypothesis quickly through the discovery phase of projects. You will be expected to have advanced skills in statistical/programming software such as R, Python, and data querying languages like SQL, Hadoop/Hive, Scala. Additionally, you should possess hands-on experience in feature engineering, hyperparameter optimization, and producing high-quality code, tests, and documentation. Your role will involve utilizing Microsoft Azure or AWS data management tools like Azure Data Factory, Data Lake, Azure ML, Synapse, and Databricks. An understanding of descriptive and exploratory statistics, predictive modeling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and deep learning methodologies is crucial. Proficiency in statistical concepts, ML algorithms, and Agile principles is required. You will be expected to lead, manage, build, and deliver customer business results through data scientists or a professional services team. Strong communication skills are essential for sharing ideas effectively, summarizing and communicating data analysis assumptions and results. Being self-motivated, proactive, and capable of working both independently and in teams is important for success in this role. Experience in supply chain functions, AI/ML applications within CPG or Healthcare business environments, Pyomo, Mosel, truck load optimization, multi-echelon inventory optimization (MEIO), NLP, Vision, AR/VR, creating CI/CD pipelines using Jenkins, MLOPs framework implementation, and data security on ML models would be beneficial. Hands-on experience in developing ML-driven models is a plus. If you meet the above requirements and are keen on joining our team, please share your CV directly at career@roitech.biz.,

As a Data Science Consultant with expertise in machine learning and Python, you will be responsible for understanding and implementing the end-to-end architecture of Data Science and machine learning projects. Your role will involve productionizing machine learning models, guiding the development team in implementing machine learning use cases, and providing technology consulting to define the right Data Science and ML use cases. Your key responsibilities will include data collection, profiling, exploratory data analysis, and data preparation. You will be involved in AI model development, tuning, and validation, as well as using visualization tools such as PowerBI and Tableau to present findings to business users and project management teams. Additionally, you will propose ML-based solution approaches, estimate new use cases, and contribute to AI-based modules in Infosys solutions development. It will be essential for you to continuously explore new advances in AI, execute Proof of Concepts (PoCs), and mentor and guide other team members in ML algorithms and AI domains such as NLP, speech, and computer vision. You should have experience with supervised, unsupervised, and reinforcement learning, as well as expertise in tools for data analysis, auto ML, model deployment, and scaling. Proficiency in programming languages like Python, knowledge of databases, and familiarity with cloud platforms such as Azure, AWS, and GCP will be essential for success in this role. If you have a passion for AI/ML solution architecture and design, and you are eager to contribute to cutting-edge projects in the field of Data Science and machine learning, we look forward to receiving your application.,

As a Data Scientist with 3-8 years of experience, you will collaborate with interdisciplinary scientists, IT, and engineering professionals to solve critical problems and support business decision-making. Strong communication and organizational skills are essential, paired with a problem-solving attitude. Key expertise required for this role includes at least 3 years in analytics, particularly with big data solutions. You should have Subject Matter Expertise (SME) in Statistics, Analytics, Data Science, Machine Learning, Deep Learning, Big Data Platforms (SQL, Hadoop, Apache Spark, etc.), Programming Languages (Python and R), and Techniques such as Statistical models, ML algorithms (e.g., Random Forest, SVM), Deep Learning models (e.g., CNN, RNN), and NLP. You should be able to build proposals for analytics/data science solutions, conduct hands-on data analysis, and derive actionable insights. Experience collaborating with global teams and senior stakeholders is also valued. The ideal candidate for this role will have a strong analytical and logical mindset, be well-organized with prioritization skills, and possess an independent, self-starting attitude with ownership of tasks. You should be curious and collaborative, keen to learn, and proficient in English for a global team environment. Your educational background should include a degree in fields like Statistics, Mathematics, Operations Research, Economics, Engineering, or Information Science. Contributions on platforms like GitHub or Kaggle are advantageous for this position.,

Changing the world through digital experiences is what Adobe is all about. Adobe provides everyone, from emerging artists to global brands, with everything they need to design and deliver exceptional digital experiences. Adobe is passionate about empowering individuals to create beautiful and powerful images, videos, and apps, transforming how companies interact with customers across every screen. Adobe is on a mission to hire the very best talent and is committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunities. Adobe recognizes that new ideas can come from anywhere within the organization, and the next big idea could be yours! The Adobe Firefly Gen AI Models and Services group is seeking a passionate Engineering Manager interested in working on generative AI models for image, vector, audio, video, and multimodal to assist in building the next generation of foundation models that power Adobe creative tools. As a Firefly Models and Services Engineering Manager, you will join an outstanding team of ML and service engineers focused on building the future of digital experiences. You will collaborate with multiple Adobe teams to design and construct the pipelines of future foundation models at Adobe. You will play a pivotal role in making significant technical decisions, prioritizing model optimization experiments, and developing innovative ideas to advance the creative world through features in Adobe's products, reaching millions of people worldwide. **Job Responsibilities** - Lead a diverse team of world-class ML engineers to build and optimize large-scale foundation model pipelines in Generative AI. - Partner with Adobe Research and Applied Research to deliver innovative models. - Collaborate with Product Management, Engineering, and Research teams to architect and implement new AI/ML capabilities. - Work with senior technical leaders to develop guidelines and strategies for efficiently transitioning AI/ML projects from research to customer features while maintaining outstanding quality and safety. - Coordinate with other teams to align on priorities and drive goals and projects forward. - Provide technical mentorship and guidance. - Create and nurture a team culture that emphasizes sound scientific processes and engineering excellence, encouraging deep engagement with customers. - Review and provide feedback on features, technology, architecture, designs, and test strategies. **What you'll need to succeed** - Masters or Ph.D. in Computer Science, AI/ML, or related fields, or B.Tech with strong experience in AI/ML. - 10+ years of experience. - 5+ years of experience building and shipping large-scale ML solutions. - 2+ years of people management and leadership experience with research and engineering teams. - Sound knowledge of generative AI, common ML algorithms, and natural language processing. - Experience with Python. Familiarity with cloud development on Azure/AWS. - Excellent analysis and problem-solving skills. - Strong record of developing, leading, coaching, and mentoring software and machine learning engineers and scientists. - Experience in cultivating a positive environment conducive to growth. - Excellent collaboration skills. Experience with working in a Matrix organization, driving alignment, drawing conclusions, and getting things done. **Preferred experience** - Experience in pioneering Generative AI technologies, such as GAN, diffusion, and transformer models. - Strong hands-on experience with large-scale GenAI model pipelines and/or shipping ML features.,

You will be joining Infosys Finacle, a product of EdgeVerve Systems (a subsidiary of Infosys), a global leader in digital banking solutions. In this role as a Data Scientist AI / RPA, you will be responsible for applying statistical methods and machine learning algorithms to large datasets to derive insights and predictions using Python/R packages. Your responsibilities will include expertise in utilizing data science related packages such as sk learn and data manipulation packages like pandas, dask. You should have experience in various modeling techniques including classifications, regression, time series analysis, deep learning, text mining, and NLP. Additionally, you will be analyzing problem statements and devising solutions through creating Proof of Concepts (POCs), collecting relevant data, cleansing data, and possessing basic knowledge of writing SQL queries. To excel in this role, you must have a basic understanding of big data concepts like Hadoop and Hive, as well as experience in ML programming and strong analytical skills. The qualifications required for this position include a B.Tech, M.Tech, MCA, or BE degree. As part of the team, you will have the opportunity to work with cutting-edge technologies and contribute to the digital transformation of financial institutions globally. Infosys Finacle is committed to diversity and inclusivity, providing an equal opportunity workplace for all individuals.,

Role: Senior AI/ML Engineer Function: Machine Learning / AI Engineering Industry: Fintech, SaaS, Artificial Intelligence About Company The client is an early-stage, venture-backed fintech using AI to simplify cash-flow analytics for high-volume B2C businesses. Its platform pairs natural-language queries with machine learning to deliver real-time insights and friction-free reconciliation. You join a small, fast-moving team that prizes ownership, experimentation, and transparent collaboration. The mission is clear: give operators instant, accurate financial visibility so they can scale with confidence. Position Overview You lead the end-to-end AI charter that powers financial automation, intelligent reconciliation, and anomaly detection. You shape the GenAI roadmap, productionize cutting-edge ML systems, and build a world-class teamall while delivering reliable, compliant, and low-latency solutions for transactional finance. Role & Responsibilities Define the AI and GenAI vision for reconciliation, document understanding, financial classification, and payment behavior intelligence. Translate product problems into scalable ML systems and GenAI workflows. Research, experiment, and productionize LLM-based pipelines tailored to enterprise financial operations. Deploy and maintain ML and LLM pipelines in production, including observability, retries, retraining, and versioning. Implement feedback loops that continuously learn from user actions and corrections. Optimize performance and latency of GenAI systems in high-throughput transactional environments. Ensure data privacy, regulatory compliance, and explainability of AI outputs in financial contexts. Lead, hire, mentor, and grow a team of ML and GenAI engineers. Collaborate with product managers, backend engineers, and data engineers to ship AI-powered features. Evangelize responsible AI practices and an experimentation culture across the organization. Must have Criteria 5+ years in AI/ML with at least 12 years hands-on with LLMs and GenAI. Deep knowledge of ML algorithms, NLP, transformers, vector search, embeddings, classification, and unsupervised learning. Proven track record building and deploying GenAI applications using OpenAI APIs, HuggingFace, LangChain, or LlamaIndex. Strong coding skills in Python and experience with PyTorch or TensorFlow, scikit-learn, pandas, and MLOps tools such as MLflow or Airflow. Hands-on experience fine-tuning LLMs (LoRA, QLoRA, PEFT) and crafting prompts for deterministic outputs. Expertise with OCR/NLP tools for semi-structured document extraction and parsing. Ability to work with unstructured, noisy financial data at scale. End-to-end ownership of ML systems from research through deployment and monitoring. Nice to Have Familiarity with open-source LLMs like Mistral, Claude, LLaMA, or Zephyr. Experience with chunking strategies, prompt templates, and hybrid search in RAG systems. Background in enterprise SaaS or fintech domains such as banking, reconciliation, ERP, or accounting. Knowledge of graph-based ML or probabilistic models for complex transaction flows. Past experience building AI systems in an early-stage startup or as a founding team member. Fintech domain expertise. What We Offer Foundational role where you define how AI evolves at the company. High impact on real-world financial decisions requiring accuracy and auditability. Ownership of deep ML and cutting-edge GenAI problems. Product-first, collaborative culture that values high agency and technical depth. Show more Show less

Encora is looking for Machine Learning Engineer to join our dynamic team and embark on a rewarding career journey. A Machine Learning Engineer is responsible for designing, building, and maintaining systems that use artificial intelligence (AI) and machine learning (ML) algorithms to solve complex problems. 1 .Developing and implementing ML algorithms : The Machine Learning Engineer develops and implements machine learning algorithms to solve specific problems, such as natural language processing, computer vision, or predictive modeling .2. Building data pipelines : The Machine Learning Engineer is responsible for building data pipelines that collect, store, and preprocess data used in machine learning algorithms. 3. Creating and maintaining ML infrastructure : The Machine Learning Engineer is responsible for creating and maintaining ML infrastructure, including hardware, software, and cloud platforms, that support the development and deployment of ML models. 4. Testing and validating ML models: The Machine Learning Engineer tests and validates ML models, ensuring that they are accurate, robust, and scalable 5. Troubleshooting ML systems: The Machine Learning Engineer troubleshoots ML systems, identifying and resolving issues related to performance, accuracy, and scalability 6 .Deploying ML models : The Machine Learning Engineer deploys ML models in production environments, integrating them with other software systems and ensuring that they are reliable and scalable.

AVEVA is creating software trusted by over 90% of leading industrial companies. We are currently seeking a passionate and skilled Principal Technologist, Dev - AI Core Services Development to join our team in Bangalore on a Regular, Full-Time basis. In this role, you will report to the R&D Senior Manager and be responsible for designing, developing, and scaling AI-enabling platform services and public APIs that are secure, reliable, and cloud-native. These services will play a crucial role as foundational building blocks for AI adoption across AVEVAs product portfolio and partner ecosystem. As a member of the Core AI Services team, you will collaborate within a Scrum team to build innovative, standards-compliant, and production-grade AI capabilities. Your role will involve rapid prototyping, continuous improvement, and fostering an agile, start-up mentality. Key responsibilities include building scalable, fault-tolerant cloud-native services on Microsoft Azure, developing secure public APIs and SDKs, collaborating with cross-functional teams for end-to-end solutions, embedding security controls for data protection, contributing to design and code reviews, mentoring junior developers, and working on AI solutions such as model deployment and AI tooling development. Ideal candidates should have 12+ years of experience in software engineering, with a focus on platform or cloud-native service development using Microsoft and .NET technologies. Proficiency in Microsoft Azure, RESTful API design, securing APIs, and collaborating in Agile teams is essential. Moreover, expertise in AI frameworks, tools, and Python is required. The successful candidate will also have experience working with Large Language Models, AI standards, ML algorithms, and a commitment to responsible AI development. At AVEVA, we are at the forefront of industrial software innovation, with a global team of over 2000 developers working on a diverse portfolio of industrial automation and engineering products. If you are looking to be part of a team driving industrial intelligence and innovation, AVEVA offers a supportive and inclusive work environment where employees are encouraged to learn, collaborate, and build applications that solve real-world challenges. Join us in shaping the future of industrial intelligence and driving the next wave of industrial innovation at AVEVA! To apply for this position, submit your cover letter and CV through our application portal. AVEVA is an Equal Opportunity Employer committed to fostering an inclusive workplace where diversity is valued, and reasonable accommodations are provided for applicants with disabilities.,

You are one of the potential candidates our client TOP MNC Giant is seeking for the position of Data Scientist. They are looking for individuals with 4 to 8 years of experience in this field who can join immediately or within 7 days. The base locations for this role are Gurgaon and Bengaluru with a hybrid setup where you will work 3 days from the office. As a Data Scientist, you must possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Strong programming skills in languages like Python and SQL are essential. You should have experience in developing and deploying AI/ML and deep learning solutions using frameworks such as Scikit-learn, TensorFlow, and PyTorch. Familiarity with ETL and Datawarehouse tools like Azure Data Factory, Azure Data Lake, or Databricks is required. Your role will involve utilizing your knowledge of math, probability, and statistics along with a variety of ML algorithms. Experience in cloud infrastructure, especially Azure (Preferred), AWS, or GCP, is highly desirable. Exposure to Gen AI, Vector DB, and LLM (Large Language Model) will be an added advantage. Additional skills that are good to have include experience in Flask/Django, Streamlit, and MLOps tools like MLFlow, Kubeflow, and CI/CD Pipeline. Knowledge of Docker, Kubernetes, and collaborating with software engineers and business stakeholders to translate requirements into AI/ML solutions are also beneficial. Your responsibilities will include developing, implementing, and deploying AI/ML solutions, preprocessing and analyzing large datasets, evaluating and optimizing models, deploying applications in cloud environments, and monitoring the performance of models in production. Documenting the development processes and sharing knowledge for continuous improvement are also part of the role. If you are the perfect match for this job and can join immediately, please provide the following details along with your updated profile: - Total experience: - Relevant experience in Data Scientist: - Applying for Gurgaon and Bengaluru: - Open for Hybrid: - Current CTC: - Expected CTC: - Can join ASAP: Once we receive your updated profile with the above details, we will contact you for further proceedings. Thank you. Venkat Solti solti.v@anlage.co.in,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself and contribute to creating a better working world for all. As an EY-Consulting AI Enabled Automation - GenAI/Agentic Manager, we are seeking individuals with strong AI Enabled Automation skills who are passionate about applying AI in the process automation space, including Azure, AI, ML, Deep Learning, NLP, GenAI, large Lang Models (LLM), RAG, Vector DB, Graph DB, and Python. Responsibilities: - Develop and implement AI-enabled automation solutions aligned 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 applications. - Ensure seamless integration of optimized solutions into the overall product or system. - Collaborate with cross-functional teams to understand requirements, integrate solutions into cloud environments (Azure, GCP, AWS), and align with business goals and user needs. - Educate the team on best practices and stay updated on the latest tech advancements to bring innovative solutions to the project. Technical Skills Requirements: - 9 to 13 years of relevant professional experience, proficiency in Python, and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. - Strong foundation in ML algorithms, feature engineering, and model evaluation. - Proficiency in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP. - Experience in GenAI technologies, LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. - Knowledge of retrieval augmented generation (RAG) and Knowledge Graph RAG. - Experience with multi-agent orchestration, memory, and tool integrations. - Experience implementing MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning, and reproducibility). - Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. - Strong understanding of data pipelines, APIs, and distributed systems. - Ability to build observability into AI systems latency, drift, performance metrics. - Strong communication, presentation, client service, and technical writing skills in English for both technical and business audiences. - Strong analytical, problem-solving, and critical thinking skills. - Ability to work under tight timelines for multiple project deliveries. What We Offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We provide stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. While we encourage you to take personal responsibility for your career, we support your professional development in every way possible. You have the flexibility to devote time to what matters to you, in both your business and personal lives. At EY, you can be yourself, express your point of view, energy, and enthusiasm, no matter where you are in the world. This is how you can make a difference. EY | Building a better working world: EY exists to build a better working world, helping to create long-term value for clients, people, and society, and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

Role Summary: We are looking for a dynamic and technically adept Pre-Sales Consultant AI/ML Services who will act as a bridge between the sales and delivery teams. You will be responsible for understanding client requirements, crafting AI/ML-driven solutions, and presenting them in a compelling manner to prospective customers. Key Responsibilities: Partner with sales teams to understand customer requirements and provide tailored AI/ML solution proposals. Conduct detailed discovery sessions to identify business problems that can be solved with AI/ML technologies. Prepare and deliver compelling product/service presentations, demos, and proof-of-concept engagements. Respond to RFPs, RFIs, and technical queries from clients with customized solution documentation. Collaborate with technical teams to design high-level architecture, use case frameworks, and success metrics. Stay updated with AI/ML trends, technologies, and competitive landscape. Build and maintain relationships with key technical stakeholders on the client side. Participate in strategy meetings to refine offerings and go-to-market approaches. Required Skills & Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 4+ years of experience in a Pre-Sales, Solutions Consulting, or Technical Sales role in AI/ML or advanced analytics domain. Solid understanding of AI/ML concepts, data pipelines, model development, and deployment lifecycle. Ability to translate business problems into technical solutions using ML algorithms, NLP, Computer Vision, etc. Strong communication and presentation skills to engage with both technical and non-technical stakeholders. Familiarity with cloud platforms (AWS, Azure, GCP) and modern ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Experience with enterprise clients in industries like BFSI, Retail, Healthcare, or Manufacturing is a plus. Preferred Qualifications: Certifications in AI/ML or cloud platforms (e.g., AWS Certified Machine Learning, Azure AI Engineer). Experience with pre-sales tools like CRM systems, proposal builders, and demo environments. What We Offer: Opportunity to work on high-impact AI/ML projects with global clients. Dynamic work environment with a focus on innovation and continuous learning. Competitive salary and incentive structure. A collaborative culture that values transparency, ownership, and agility. Show more Show less