5485 Deep Learning Jobs - Page 43

Responsibilities: Design and deploy ML models, perform data preprocessing and feature engineering, collaborate with teams to integrate AI solutions, monitor performance, stay updated with latest research, and communicate insights to stakeholders.

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Engineering Good to have skills : Machine Learning, Deep Learning, Generative AIMinimum 3 year(s) of experience is required Educational Qualification : BTECH Summary :As a Data Engineer, you will engage in the design, development, and maintenance of data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating efficient data pipelines, ensuring the integrity and quality of data, and implementing robust ETL processes to seamlessly migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy, ensuring that the solutions you develop align with organizational goals and enhance data accessibility for stakeholders. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Develop and maintain scalable data pipelines to support data processing and analytics.- Collaborate with data scientists and analysts to understand data needs and provide necessary data solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Engineering.- Good To Have Skills: Experience with Generative AI, Machine Learning, Deep Learning.- Strong understanding of ETL processes and data integration techniques.- Experience with data warehousing solutions and database management systems.- Familiarity with cloud platforms and services for data storage and processing. Additional Information:- The candidate should have minimum 3 years of experience in Data Engineering.- This position is based at our Kolkata office.- A BTECH is required. Qualification BTECH

Hiring AI/ML Engineer (3+ yrs, Noida) Work on multilingual voice assistant using STT, LLMs, TTS, and telephony APIs (Twilio, Ozonetel).Python, NLP, OpenAI/Hugging Face exp needed. Contract/full-time. Interested? Share CV at- arju.kumari@servoedge.com

As a Generative AI Solution Architect with IBM Consulting, you are primarily responsible for designing and implementing complex GenAI solutions using IBM WatsonX and Ecosystem Partner Stacks (Microsoft Azure / Open AI, AWS, Aleph Alpha, as well as Open Source). In addition, you are supporting business development, sales as well as the delivery of consulting and system integration projects in Data & AI for our clients. * You have end-to-end technical responsibility during the acquisition, design and delivery of technically complex GenAI projects at scale * You are accountable for the development and productive deployment of scalable Generative AI applications and platforms, particularly within (hybrid) cloud architectures. * You provide consultation and support to clients and colleagues in architecting and selecting the right technology stack for flexible, scalable, and economical GenAI solutions. * You guide and support clients and colleagues in the adoption of development and operational processes for AI solutions, such as Agile DevOps, FinOps, Trustworthy AI and MLOps methodologies. * You stay abreast of the latest developments in the Artificial Intelligence market and research environment, actively participating in knowledge transfer within IBM Consulting, especially when it comes to mentoring junior team members and delivery teams. * You also develop the strategy, vision, and roadmap for GenAI architectures within our consulting business, contributing to both our immediate sales objectives and long-term business growth. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Professional with at least 2-7 years of experience ideally in data and analytics and/or architecture, including 3 years in the design, build, and implementation of AI/Deep Learning & GenAI solutions. * Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholder Preferred technical and professional experience Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholders.* Fluent in English

The Data Scientist role requires a highly analytical individual proficient in Python programming, database management, and data science methodologies. You’ll focus on extracting insights from data, developing and implementing machine learning models, managing big data infrastructure, and supporting AI-driven product development. Key Responsibilities: Data Collection and Cleansing: Collect and cleanse data from diverse sources to ensure high-quality datasets for decision-making. Data Exploration and Visualization: Explore and visualize data using advanced techniques to uncover insights and trends. Statistical Analysis: Apply statistical and mathematical techniques to provide robust analytical foundations for predictive modeling. Machine Learning and Deep Learning: Develop and implement machine learning and deep learning models to address business challenges. ML-Ops / AI-Ops: Demonstrate expertise in ML-Ops / AI-Ops practices to ensure efficient model deployment and management. Big Data Management: Manage big data infrastructure and execute data engineering tasks for efficient data processing. Version Control and Collaboration: Utilize version control systems like Git for maintaining codebase integrity and fostering collaboration. AI-Driven Product Development: Design, create, and support AI-driven products to deliver impactful solutions aligned with user needs and business objectives. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Industry Experience: Minimum 8+ years of experience in the IT industry. Technical Proficiency: Proficient in Python programming, NLP techniques, and AI Frameworks (e.g., Hugging Face). Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch.Familiarity with big data technologies and data engineering practices. Database Management: Knowledge of SQL and NoSQL database management. Data Science Skills: Strong background in data science, statistics, mathematics, and analytical techniques. Machine Learning Expertise: Expertise in machine learning and deep learning methodologies, including foundation models. Preferred technical and professional experience Deep Learning Experience: Hands-on experience in data science for 8+ years with a minimum of 4 years in deep learning. Cloud Computing Experience: Experience with cloud computing platforms (AWS/Azure/Google/IBM) for leveraging advanced cloud-based services. Big Data Technologies:Familiarity with big data technologies and data engineering practices. Familiarity with MLOps practices and tools (e.g., MLflow, Airflow).

Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Lead Data Scientist - Generative AI & LLMs Location: Hyderabad Notice Period: Immediate to 30days About the Role As a Lead Data Scientist, you will drive the architecture, design, and delivery of GenAI solutions, focusing on LLM and vLLM fine-tuning, data strategy, and model performance. This is a strategic, leadership-oriented role requiring a deep technical foundation and strong stakeholder collaboration. Key Responsibilities Lead design and implementation of LLM-powered GenAI platforms and document intelligence products. Architect and own data pipelines for fine-tuning large language models using large- scale datasets. Guide and mentor data science teams on LLM training best practices, evaluation, and deployment. Optimize model inference (latency, throughput) using vLLM, quantization, or model distillation techniques. Own the model lifecycle from experimentation to production-grade deployment. Partner with engineering/product teams to translate business needs into scalable AI solutions. Required Skills 7+ years in data science, with 3+ years focused on NLP and LLMs. Proven expertise in fine-tuning large-scale models on enterprise or open datasets. Hands-on with vLLM, PEFT (Parameter Efficient Fine Tuning), LoRA, and quantization strategies. Experience optimizing inference pipelines for production environments. Strong coding background in Python, PyTorch, and scalable ML architectures. Deep understanding of model alignment, evaluation strategies, and generative QA tasks. Leadership Skills Ability to lead cross-functional teams across data science, MLOps, and software engineering. Experience mentoring junior team members and reviewing model design/code. Strong communication skills to influence technical and non-technical stakeholders.

Role: Senior Data Scientist Location: Hyderabad Notice Period: Immediate to 15days About the Role We are looking for a Senior Data Scientist to design and build intelligent chatbot systems that can interpret natural language queries and interact with structured and unstructured data using Text-to-SQL, RAG (Retrieval-Augmented Generation), and Agentic reasoning. Youll lead the development of multi-modal, context-aware, and autonomous agents that use large language models to query databases, invoke tools, retrieve knowledge, and plan actions, all within enterprise-grade environments. Key Responsibilities Build Text-to-SQL agents that convert natural language into accurate, executable SQL across various schemas. Design RAG pipelines to enrich LLM outputs using internal documents, tables, and API-based retrievers. Develop agentic frameworks that enable tool use, database interaction, planning, and task decomposition using LLMs. Tune prompts and build evaluation systems for accuracy, latency, grounding, and correctness. Work with product and data teams to build domain-specific few-shot examples, tool definitions, and vectorized schema representations. Optimize inference latency using frameworks like LangChain, Semantic Kernel, or Llama Index. Required Skills 4+ years in Data Science or NLP, with 2+ years in LLM-based application development. Experience with Text-to-SQL modeling (Spider, BIRD, etc.) and fine-tuning using synthetic or annotated query datasets. Strong understanding of LLM orchestration tools (LangChain, Semantic Kernel, or custom agents). Hands-on with RAG architectures: embedding generation, retriever tuning, chunking strategies, and reranking. Proficiency in Python, SQL, and vector search tools (FAISS, Pinecone, Weaviate, OpenSearch). Familiarity with prompt tuning, structured output parsing, and function calling (OpenAI, Mistral, Anthropic, etc.). Leadership & Collaboration Lead experimentation and architectural design for agent-based workflows (SQL agents, document agents, hybrid search agents). Mentor junior team members in LLM prompt engineering, schema design, and text- to-structure pipelines. Collaborate with ML engineers, product managers, and data owners to implement scalable conversational AI interfaces. Nice to Have Experience with vLLM, LoRA fine-tuning, or quantized model deployment. Prior work in multi-agent planning, self-healing agents, or semantic query generation. Familiarity with tools like SQLGlot, DSPy, DeepEval, and OpenAI function tools. Knowledge of structured RAG (combining structured + unstructured sources) and hybrid ranking.

Job responsibilities You will champion and adopt best practices like writing clean and reusable code using TDD, pair programming and design patterns. You will oversee or take part in the entire cycle of software consulting and delivery from ideation to evolution in production and everything in between. You will use and advocate for continuous delivery practices to deliver high-quality software as well as value to end customers as early as possible. You will design solutions and choose technologies that solve clients problems while working within constraints and make pragmatic tradeoffs. You will collaborate with a variety of teammates to build features, design concepts and interactive prototypes and ensure best practices and UX specifications are embedded along the wayYou will apply the latest technology thinking from our to solve client problems. You will apply a variety of languages and tools to your work and continue to code alongside Developers; you will not be post-technical in this role. You will efficiently utilize and champion DevSecOps tools and practices to build and deploy software, advocating devops culture and shifting security left in development. You will cultivate Thoughtworker growth and development by encouraging feedback and fostering an inclusive, supportive team culture. Job qualifications Technical skills You have full stack development experience using Python and Javascript. Deep hands-on experience in building and productionizing AI agentic solutions is a must,e.g., having built RAG or agentic solutions using LlamaIndex, CrewAI, or similar agent orchestration and RAG tooling. You have led software development teams using Agile methodology. Knowledge of technical practices such as TDD, continuous integration, pairing and infrastructure automation. You have a strong passion for continuous learning and improvement, from agentic AI frameworks, MCP / A2A protocols, and event-driven architectures to functional programming and platform engineering. Staying current with AI advancements and maintaining learnability is a key priority. Bonus points if you have knowledge of cloud technology such as AWS, Docker or Kubernetes. Professional skills You have experience influencing others and always advocate for technical excellence while being open to change when needed. You bridge product and technology by helping to translate business needs to software requirements. You have the ability to develop and execute a technical vision with a focus on business value. You will act as a mentor for less experienced peers through both your technical knowledge and ability to inspire a team to deliver extraordinary impact together. Youre resilient in ambiguous situations and can approach challenges from multiple perspectives.

As a Principal Machine Learning Engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company. Job responsibilities You will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals. You will play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation. You will leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency. You will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects. You will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation. As a key influencer, you will champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement. You will navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions. You will stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements to ensure Thoughtworks remains a leader in innovation. You will foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing. You will measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization. Job qualifications Technical Skills You have experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs. You can design and execute cross-functional requirements based on business priorities. You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python or Shell. You have experience with distributed systems and scalable architectures to handle large-scale ML applications. You have experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch. You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML. You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles. You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc. You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services. You have Pre-sales experience. Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. You dont shy away from risks or conflicts, instead you take them on and skillfully manage them. You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. You enjoy influencing others and always advocate for technical excellence while being open to change when needed. You are a proven leader with a track record of encouraging teammates in their professional development and relationships. Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business. Fluent in German and English.

Key Highlights of the Role: Experience: 58 Years Location: Hyderabad or Remote Core Skills: Computer Vision, Deep Learning, Python, PyTorch, API Development (FastAPI/Flask), Model Deployment Exposure to dashboards (frontend/backend) is an added advantage

Roles and Responsibilities Design, develop, and deploy AI/ML models using various algorithms such as supervised and unsupervised learning techniques. Collaborate with cross-functional teams to integrate ML models into existing systems and applications. Develop high-quality code in Python using popular libraries like scikit-learn, TensorFlow, Keras, etc. Troubleshoot issues related to model performance, data quality, and system integration. Stay up-to-date with latest advancements in AI/ML research and apply them to improve model accuracy. Desired Candidate Profile 6-11 years of experience in developing AI/ML models for commercial applications. Strong proficiency in programming languages such as Python or similar technologies. Experience with SQL database management systems (e.g., MySQL) for data storage and retrieval. Familiarity with GENAI tools for generating synthetic data for training ML models.

The future of open source AI starts with you. At Red Hat, we are looking for engineers who want to become an integral part of democratizing AI technology, making open source AI available and accessible to all. AI Engineering is a newly formed team where you will have the scope and impact to make your mark and get your ideas into people's hands. Red Hat's open culture fosters collaboration and allows the best ideas to grow. You will have the opportunity to actively participate in communities like KServe, Kubeflow, and VLLM, and be part of a team that values and expects contributions from all levels. Here, you will have the freedom to innovate and focus on challenging, high-impact work that makes a difference. We are looking for Machine Learning Engineers across two teams: InstructLab and OpenShift AI. In this role, you will build, optimize, and scale machine learning models while contributing to innovative AI-driven solutions and assisting users in understanding ML predictions. During the hiring process, we will work with you to determine the best team placement based on your background and interests. While the core job requirements remain consistent, your day-to-day responsibilities will align with your chosen team's objectives. Successful applicants must reside in a country where Red Hat is registered to do business. ### What you will do Specific responsibilities will vary based on team placement, but may include: - Design and implement machine learning systems - Develop and optimize ML models for production use - Create and maintain ML infrastructure and pipelines - Ensure ML systems are scalable and maintainable - Collaborate with data scientists to productionize models - Collaborate closely with researchers, software developers, and upstream AI/ML communities ### What you will bring - Experience in AI development, deep learning, machine learning libraries (e.g. PyTorch, scikit-learn), prompt engineering, and/or fundamental mathematics - Experience in feature engineering - Experience in Go or Python development - Experience in Kubernetes, OpenShift, Docker, or other cloud-native technologies - Experience in agile development, Jira, and Git - Ability to quickly learn and use new tools and technologies - Excellent written and verbal communication skills About Red Hat Red Hat is the world's leading provider of enterprise open-source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We are a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hat's culture is built on the open-source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.,

As a Machine Learning and AI Developer, you will be responsible for designing, developing, and deploying scalable models utilizing Machine Learning and AI technologies. Your primary tasks will involve data preprocessing, feature engineering, and data cleaning to enhance dataset optimization. Utilizing frameworks and libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn, you will build AI solutions and optimize code using Python, Numpy, and Pandas for data analysis and manipulation. Collaborating with cross-functional teams, you will integrate ML models into applications and research and implement cutting-edge Machine Learning algorithms to ensure the performance and scalability of AI systems. To excel in this role, you should have 1-4 years of experience in Machine Learning and AI development, along with proficiency in Python and its libraries like Numpy, Pandas, and Matplotlib. Hands-on experience with frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn is essential. A strong understanding of data preprocessing techniques and tools, familiarity with deep learning, neural networks, and model deployment, as well as excellent problem-solving skills and attention to detail are required. Your strong communication skills will be essential for team collaboration and project updates. Join our team to be a part of a collaborative and innovative environment where you will work on challenging projects with a significant impact. We offer competitive salaries and growth opportunities in a full-time position with a day shift schedule. Work location is in person.,

As an AI Researcher at our company, you will be part of a dynamic team focused on designing and developing cutting-edge agentic architectures to address complex real-world challenges using Large Language Models (LLMs). Your responsibilities will include designing and implementing advanced solutions to solve industry problems, enhancing agent performance, and adapting to domain-specific tasks. You will leverage AI agents to solve practical use cases, optimizing for accuracy, scalability, and impact. You will be expected to conduct in-depth analysis of state-of-the-art research, integrating the latest AI advancements into production-ready systems. Your role will involve enhancing agent decision-making and planning capabilities through architectural and model-level innovations. Additionally, you will be responsible for continuously researching and prototyping emerging AI tools, trends, and frameworks. Collaboration with cross-functional teams will be essential to translate research into actionable solutions aligned with product needs. The ideal candidate for this role should have hands-on experience fine-tuning LLMs for specific downstream tasks and workflows. They should also demonstrate a track record of successfully solving industry use cases with AI agents, ideally in production environments. A deep understanding of agentic frameworks such as AutoGen, CrewAI LangGraph, or similar is required. A strong foundation in Natural Language Processing (NLP) and deep learning concepts is essential. The candidate should also possess the ability to digest, interpret, and apply insights from cutting-edge AI research. Strong problem-solving skills with a focus on practical, scalable AI solutions will be key to success in this role.,

You are a skilled Python Tech Lead with a strong interest in artificial intelligence and machine learning. You will be responsible for leading a team in developing innovative solutions using Python programming language, machine learning algorithms, and deep learning frameworks. Your primary focus will be on understanding project requirements, recommending suitable approaches and technologies, and improving the efficiency of models through iterative development processes. Your key skills should include proficiency in Python, Python Flask, NLP for content extraction, Pandas, OCR, Deep Learning, OpenCV, Tesseract, Computer Vision for image processing, TensorFlow, PyTorch, Keras, Scikit-learn, Paddle, ML algorithms, Neural Networks (CNN), Git, CI/CD, and cloud experience. You must have a minimum of 4+ years of hands-on experience in Python and ML, with a strong background in machine learning algorithms and frameworks. As the Python/ML Tech Lead, you will be expected to possess excellent problem-solving and analytical skills, along with the ability to translate project requirements into actionable development tasks. Effective communication with stakeholders to provide technical insights and updates on project progress is essential. You should also have the capability to mentor and lead a team of developers, ensuring adherence to best practices and coding standards. Nice to have skills include experience with deep learning frameworks like TensorFlow or PyTorch, familiarity with NLP techniques, and previous work on computer vision projects. Demonstrated success in computer vision and text extraction projects would be an added advantage. If you meet the above requirements and are looking for a challenging opportunity in Chennai, India, then we are looking for you to join our team. Immediate joiners are preferred for this position.,

You will be part of a cutting-edge crypto hedge fund that specializes in high-frequency and machine-assisted trading strategies. We are looking for an exceptional PhD-level mathematical talent to lead our quantitative research and development efforts. As a PhD Physics or Mathematics candidate with advanced mathematical expertise, you will be responsible for developing sophisticated trading algorithms and innovative financial models in the dynamic cryptocurrency markets. You should have an advanced degree (Masters/PhD) in Computer Science, AI, Machine Learning, Quantitative Finance, Mathematics, or related fields. Your key responsibilities will include designing and implementing advanced machine learning and AI-driven trading strategies, developing high-frequency trading algorithms using Python/C++, conducting quantitative research on market microstructure and trading opportunities, creating predictive models using time series analysis and stochastic calculus, analyzing complex market patterns, and developing innovative trading approaches. You will also be involved in researching, designing, and implementing AI-powered trading algorithms to predict market movements and optimize execution, developing and training machine learning models using historical and real-time market data, utilizing reinforcement learning and deep learning techniques for predictive modeling in financial markets, leveraging NLP and sentiment analysis for trading signals, optimizing AI models for real-time decision-making and high-frequency trading strategies, conducting backtesting and live simulations to evaluate model performance, and working with large-scale financial datasets using cloud-based AI/ML infrastructure. To excel in this role, you are required to have a PhD in Mathematics, Applied Mathematics, Statistics, or related quantitative field, along with advanced knowledge in Stochastic Calculus, Machine Learning/Artificial Intelligence, Game Theory, Time Series Analysis, Control Theory, and Pattern Recognition. In addition to technical expertise, we are looking for candidates with a research-driven mindset, exceptional analytical capabilities, strong problem-solving skills, ability to work independently and collaboratively, strong attention to detail, ability to thrive in high-pressure environments, critical thinking skills, rapid skill acquisition, and a creative approach to complex technical challenges. The ideal candidate for this position is passionate about applying cutting-edge mathematical research to financial markets, excited by cryptocurrency's technological and financial innovations, comfortable with self-guided research and collaborative problem-solving, and adaptable to rapidly changing technological landscapes.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. As a Senior Data Scientist, your key responsibilities will include developing and implementing machine learning models and algorithms, working closely with project stakeholders to understand requirements and translate them into deliverables, utilizing statistical and machine learning techniques to analyze and interpret complex data sets, staying updated with the latest advancements in AI/ML technologies and methodologies, and collaborating with cross-functional teams to support various AI/ML initiatives. To qualify for this position, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, as well as a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this role include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), expertise in building secure data ingestion pipelines for unstructured data (ETL/ELT), proficiency in Python, TypeScript, NodeJS, ReactJS, and frameworks, experience with data visualization tools, knowledge of deep learning frameworks, experience with version control systems, and strong knowledge and experience in Generative AI/LLM based development. Good to have skills for this position include knowledge and experience in building knowledge graphs in production and understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, and we believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day.,

The Data Engineer / Machine Learning Engineer with GenAI Expertise position in Hyderabad, Telangana, IN is a full-time role that requires a highly skilled and motivated individual to join the team. The ideal candidate should possess expertise in Python, Apache Spark, Snowflake, Machine Learning (ML), and Generative AI (GenAI) technologies. This role involves designing and implementing data solutions, developing machine learning models, and utilizing generative AI to address complex business challenges. Key Responsibilities: Data Engineering and Development - Design, build, and maintain scalable data pipelines using Apache Spark and Snowflake. - Develop ETL workflows to ingest, transform, and load structured and unstructured data into Snowflake. - Optimize queries and processes to enhance performance and minimize latency. Machine Learning Model Development - Develop, train, and deploy machine learning models for predictive analytics and decision support. - Utilize Python libraries like Scikit-learn, TensorFlow, PyTorch, and Hugging Face for model building and evaluation. - Implement advanced techniques in natural language processing (NLP), computer vision, and deep learning. Generative AI Implementation - Apply Generative AI (GenAI) models, such as GPT, DALL-E, or similar frameworks, to business use cases. - Fine-tune GenAI models to address specific requirements in text, image, or content generation tasks. - Research and implement innovations in generative AI to maintain competitive advantages. Collaboration and Communication - Work with cross-functional teams to understand data needs and ensure delivery of scalable solutions. - Communicate findings, model outcomes, and business insights to both technical and non-technical stakeholders. Required Skills and Qualifications: - Educational Background: Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Programming Skills: Proficient in Python, including libraries like Pandas, NumPy, and PySpark. - Big Data Expertise: Hands-on experience with Apache Spark for large-scale data processing. - Cloud Data Warehousing: Proficiency with Snowflake or equivalent data warehouse platforms. - Machine Learning: Experience in developing and deploying ML models using Scikit-learn, TensorFlow, PyTorch, or similar tools. - Generative AI: Practical experience with GPT, DALL-E, Stable Diffusion, or other generative AI frameworks. - NLP and Deep Learning: Familiarity with Hugging Face transformers, BERT, and advanced neural network architectures. - Version Control: Experience with Git or other version control systems. Preferred Skills: - Experience in cloud platforms such as AWS, Azure, or Google Cloud (GCP). - Knowledge of CI/CD pipelines and MLOps best practices. - Familiarity with data visualization tools such as Tableau or Power BI. - Strong analytical, problem-solving, and communication skills. Join our team for the opportunity to work on challenging projects, grow, and learn in a transparent and supportive environment. Thrive with us as we reach for tomorrow, collaborate across cultures and disciplines, and prioritize your trust, sensibility, and welfare. Your contribution is valued and important to us.,

As a Senior Data Scientist in the Data & Analytics field, you will be responsible for a variety of tasks that involve advanced analytics, modeling, data strategy, engineering collaboration, business impact, AI strategy, thought leadership, mentorship, and technical expertise. You will design and implement advanced machine learning models, including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions such as GPT, LLaMA, and Claude. Additionally, you will develop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models. Your role will also involve fine-tuning or prompt-engineering foundation models for domain-specific applications and evaluating and optimizing LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use. Collaboration with data and ML engineering teams will be crucial as you work closely to integrate LLM-powered applications into scalable, secure, and reliable pipelines. You will contribute to the development of retrieval-augmented generation architectures using vector databases and support the deployment of models using MLOps principles. Partnering with cross-functional stakeholders, you will identify opportunities for applying LLMs and generative AI to solve complex business challenges. Leading workshops or proofs-of-concept will be part of your responsibilities to demonstrate the value of LLM use cases across business units. You will also translate complex model outputs into clear insights and decision support tools for non-technical audiences. As an internal thought leader on AI and LLM innovation, you will keep the organization at the forefront of industry advancements. Mentoring and upskilling data science team members in advanced AI techniques and contributing to strategic roadmaps for generative AI and model governance within the enterprise will be key aspects of your role. To qualify for this position, you should have education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline, along with 5+ years of hands-on experience in data science. Demonstrated success in deploying machine learning and NLP solutions at scale and proven experience with cloud AI platforms are required. Proficiency in Python and SQL, experience with prompt engineering, fine-tuning, and LLM orchestration tools, familiarity with data storage and retrieval systems, and strong understanding of model evaluation techniques for generative AI are also necessary. Additionally, you should possess leadership skills and be a strategic thinker with the ability to align AI initiatives to business goals. Excellent communication and storytelling skills are crucial for articulating the value of LLMs and advanced analytics. Strong collaboration skills and the ability to influence stakeholders across various teams are also essential. Preferred qualifications for this role include experience with IoT, edge analytics, or smart building systems, familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks, and knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments.,

SettleMint is an innovative Blockchain development platform that enables your engineering team to create, integrate, and launch various Blockchain applications efficiently. With headquarters in Belgium and a global presence, including offices in India, Singapore, Dubai, Tokyo, and the UK, SettleMint has recently secured Series-A funding of 16 Million. SettleMint India, established in 2019 with its headquarters in Delhi, focuses on delivering client projects and developing high-performance low-code Blockchain solutions. As a Senior Machine Learning Engineer at SettleMint India, you will utilize your extensive experience in AI and machine learning to lead impactful initiatives within the company. Working closely with cross-functional teams, you will identify business challenges, design data-driven solutions, and provide actionable insights to drive innovation. Key Responsibilities: - Lead and oversee the machine learning team, including recruitment, performance management, and professional growth. - Develop and implement the company's machine learning strategy. - Collaborate in agile/scrum processes to design, test, deploy, and support machine learning models integrated with various applications. - Mentor junior ML engineers on technical competencies. - Generate insights from data sets, identify trends, and prepare reports using data visualization. Requirements: - Proven experience in implementing and deploying ML solutions at scale for real-world problems. - Strong expertise in Machine Learning, Deep Learning, Image Processing, NLP, predictive & forecasting models. - Familiarity with AWS Sagemaker/Azure ML and advanced SQL. Experience with Pyspark and cloud platforms like AWS. - Hands-on experience with big data technologies such as Hadoop, Spark, and NoSQL. - Proficiency in Python Data Analysis Stack (Pandas, Numpy, Scikit-learn). - Curiosity to learn and implement the latest developments in AI. - Self-motivated, independent worker with a keen eye for detail. What SettleMint Offers: - A dynamic work environment that evolves as the company grows. - Trust in your abilities to deliver project outcomes without micro-management. - Focus on employee well-being and continuous learning and development opportunities. - Exposure to global projects and collaboration with international teams. Join SettleMint India to be a part of a pioneering team driving innovation in Blockchain technology and machine learning applications.,

As a Data Science Developer at our company, you will be responsible for formulating, suggesting, and managing data-driven projects to further the business's interests. Your duties will include collating and cleaning data from various sources, delegating tasks to junior data scientists, and monitoring their performance to ensure successful project completion. You will utilize advanced statistical procedures to derive actionable insights and cross-validate models for generalizability. Additionally, you will be expected to produce non-technical reports detailing project successes and limitations, suggest how insights can inform business strategies, and stay updated on Data Science and related field developments to keep outputs relevant. The ideal candidate for this role should hold an advanced degree in data science, statistics, computer science, or a related field, with extensive experience as a data scientist. Proficiency in Python, Numpy, Pandas, Scikit Learn, SQL, and AWS services is essential. A strong understanding of SQL, machine learning principles, and a track record of leading data-centric projects are required. Moreover, you should possess excellent supervision and mentorship skills, fostering a collaborative work environment that encourages teamwork and complies with ethical standards. If you are a data science enthusiast with a passion for leveraging data to drive business success, we invite you to join our team in Indore for an exciting opportunity to make a significant impact through your expertise in Data Science, Machine Learning, Deep Learning, NLP, Python, Flask, Numpy, and Pandas. Please note that the skills required for this role include Data Science, Machine Learning, Deep Learning, NLP, Python, Flask, Numpy, and Pandas.,

You should possess a Master's or PhD degree to be considered for this role. You must have experience in object detection, tracking, classification, recognition, scene understanding, and facial expression analysis. Proficiency in ML techniques such as SVM, boosting, K-means, KNN, HMM, GMM, Ensemble classifier, deep learning, etc., is required. It is essential to have international publications in relevant fields in top-tier conferences and journals. A strong mathematical understanding of signal processing algorithms is necessary, along with up-to-date knowledge of recent trends in machine learning/vision. You should have a solid background in image and video processing techniques, specifically for image/video analysis and enhancement. A robust experience in software engineering, including a good understanding of software architecture, optimization, and programming patterns and paradigms, is expected. Proficiency in prototyping computer vision algorithms in C/C++ is preferred. The ideal candidate should have at least 3+ years of experience after completing a Master's degree or 0+ years of experience after obtaining a Ph.D. The role involves researching and developing algorithms for image and video processing, including facial analysis, object detection, scene analysis, concept recognition, etc., to extract rich and detailed context from images and videos. You will be responsible for implementing novel computer vision and machine learning techniques, improving performance, and extending the capabilities of existing products. Please reach out to Ram at +91 98 1845 4080 / 98 6860 9864 for further information or application. (Note: This job description was sourced from hirist.tech),

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements. Wayfair's Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits. The team is building Sponsored Products, Display & Video Ad offerings that cater to various Advertiser goals while delivering highly relevant and engaging Ads to millions of customers. The Ads Platform is being evolved to empower advertisers of all sophistication levels to grow their business on Wayfair with a strong, positive ROI by utilizing state-of-the-art Machine Learning techniques. The Advertising Optimization & Automation Science team plays a central role in this effort. The team leverages machine learning and generative AI to streamline campaign workflows, providing impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, they are developing intelligent systems for creative optimization and exploring agentic frameworks to simplify and enhance advertiser interactions. An experienced ML Scientist III is sought to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for developing budget, tROAS, and SKU recommendations along with other machine learning capabilities that support the ads business. You will collaborate closely with other scientists, as well as members of internal Product and Engineering teams, to apply your engineering and machine learning skills to solve impactful and intellectually challenging problems that directly influence Wayfair's revenue. **What you'll do:** - Provide technical leadership in developing an automated and intelligent advertising system by advancing machine learning techniques to offer recommendations for Ads campaigns and other optimizations. - Design, build, deploy, and refine scalable, real-world platforms that optimize the ads experience. - Collaborate with commercial stakeholders to understand business problems or opportunities and develop machine learning solutions accordingly. - Work closely with engineering, infrastructure, and machine learning platform teams to ensure best practices in building and deploying scalable machine learning services. - Identify new opportunities and insights from data, improving models, and projecting the ROI of proposed modifications. - Stay updated on new developments in advertising, sort and recommendations research, and incorporate them into internal packages and systems. - Maintain a customer-centric approach in solving problems. **We Are a Match Because You Have:** - Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field. - 6-9 years of industry experience in advanced machine learning and statistical modeling, including building production models at scale. - Strong theoretical understanding of statistical models and machine learning algorithms. - Familiarity with machine learning model development frameworks, orchestration, and pipelines. - Proficiency in Python or another high-level programming language. - Hands-on experience deploying machine learning solutions into production. - Strong communication skills and a bias towards simplicity. **Nice to have:** - Familiarity with Machine Learning platforms offered by Google Cloud. - Experience in computational advertising, bidding algorithms, or search ranking. - Experience with deep learning frameworks like PyTorch, Tensorflow, etc.,