98 Model Deployment Jobs

Description We are seeking a skilled Machine Learning Engineer to join our team in India. The ideal candidate will have a strong background in machine learning algorithms, data analysis, and software development. You will be responsible for developing and implementing machine learning solutions that drive business value. Responsibilities Design and implement machine learning models to solve complex business problems. Collaborate with data scientists and software engineers to integrate machine learning algorithms into applications. Conduct data analysis and preprocessing to prepare datasets for training and testing. Evaluate model performance and optimize algorithms for better accuracy and efficiency. Stay updated with the latest trends in machine learning and artificial intelligence. Skills and Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field. 3-9 years of experience in machine learning, data analysis, or a related field. Strong programming skills in Python, Java, or R. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Proficiency in SQL and database management systems. Familiarity with data visualization tools like Tableau or Matplotlib. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud for deploying machine learning models.

Description We are looking for an experienced NLP Engineer to join our dynamic team in India. The ideal candidate will have a strong background in natural language processing and machine learning, with a passion for building innovative solutions that leverage language data. Responsibilities Design and implement NLP models and algorithms for various applications. Collaborate with data scientists and software engineers to integrate NLP features into products. Conduct research on state-of-the-art NLP methods and apply them to solve real-world problems. Analyze large datasets to extract meaningful insights and improve model performance. Optimize and fine-tune models for better accuracy and efficiency. Skills and Qualifications 4-8 years of experience in Natural Language Processing or related fields. Strong programming skills in Python and familiarity with NLP libraries such as NLTK, spaCy, or Hugging Face Transformers. Experience with machine learning frameworks such as TensorFlow or PyTorch. Solid understanding of statistical analysis and data mining techniques. Knowledge of deep learning architectures for NLP, including RNNs, LSTMs, and Transformers. Experience in text preprocessing, feature extraction, and model evaluation metrics. Familiarity with cloud services (AWS, GCP, Azure) for deploying NLP solutions.

Job Description: We are looking for a highly skilled AI/ML Architect who possesses a strong background in Data Engineering and a demonstrated ability to utilize Design Thinking principles in addressing complex business issues. As the ideal candidate, you will have a pivotal role in shaping comprehensive AI/ML solutions, spanning from data architecture to model deployment. Your focus will be on ensuring that the design is user-centric, scalable, and in alignment with the business objectives. Key Responsibilities: - Take the lead in architecting and designing AI/ML solutions across various business domains. - Collaborate closely with stakeholders to identify use cases and transform them into scalable, production-ready ML architectures. - Employ design thinking methodologies to foster innovative and user-centric solution designs. - Design data pipelines and feature engineering processes for both structured and unstructured data. - Oversee the entire ML lifecycle, encompassing data preprocessing, model training, evaluation, deployment, and monitoring. - Uphold best practices in MLOps, which includes CI/CD for ML, model governance, and strategies for retraining. - Work collaboratively with data scientists, engineers, and product teams to ensure that the architecture aligns with business goals. - Provide mentorship and guidance to engineering and data science teams regarding solution design, performance optimization, and system integration. Experience: 10 to 15 years Job Reference Number: 13029,

As a Data Scientist + ML at our company, you will be responsible for extracting and analyzing data from company databases to optimize product development and marketing strategies. Your role will involve analyzing large datasets to uncover trends and insights that can drive business decisions. Leveraging predictive and AI/ML modeling techniques, you will enhance customer experience, revenue generation, and ad targeting. You will design, implement, and optimize machine learning models for various applications such as predictive analytics, natural language processing, and recommendation systems. Additionally, you will conduct experiments to fine-tune models and deploy them into production environments, ensuring scalability. To qualify for this role, you should hold a Bachelor's, Master's, or Ph.D in Computer Science, Data Science, Mathematics, Statistics, or a related field. You must have at least 2 years of experience in Analytics, Machine Learning, and Deep Learning. Proficiency in programming languages like Python and familiarity with machine learning libraries such as Numpy, Pandas, TensorFlow, Keras, PyTorch, and Scikit-learn are required. Strong experience in data wrangling, cleaning, and transforming raw data, along with developing, training, and deploying machine learning models is essential. You should have a deep understanding of machine learning algorithms and model evaluation techniques, as well as experience with cloud platforms like AWS, GCP, and Azure for model deployment and scalability. It would be beneficial if you have experience in the banking/financial services industry and familiarity with cloud-based machine learning platforms like Azure, AWS, or GCP. The job is full-time, Monday to Friday, and requires a total of 5 years of work experience, with specific requirements in Data Science (5 years), Machine Learning (3 years), Deep Learning (3 years preferred), Google Cloud Platform (2 years preferred), AWS (2 years preferred), Azure (2 years preferred), and Python (4 years required). This role is based in person in Bangalore, Hyderabad, Noida, or Chennai. If you possess excellent problem-solving skills, strong communication abilities, and the capability to work effectively in a collaborative environment, we encourage you to apply for this exciting opportunity.,

As an ML Engineer, you will play a crucial role in developing and implementing various Machine Learning models that contribute to the growth of the company. Your primary focus will be on creating ML workflows tailored for the legal industry to enhance the efficiencies of in-house teams at Draft n Craft. This position offers you the opportunity to enhance your ML/Data Engineering skills while actively participating in the creation of valuable products. Your responsibilities will include developing data ingestion and preprocessing pipelines to extract actionable insights from legal data, ensuring accurate and consistent data cleaning for ML models, and experimenting with different ML models and architectures suitable for the legal industry. You will also be responsible for deploying ML models in production environments, analyzing model performance metrics, and improving model efficiencies. Additionally, you will document data preprocessing steps, model development processes, and optimization techniques. Collaboration with software engineers within the company will be essential, requiring an understanding of software development terminologies. Integration of ML models into existing software solutions and employee workflows will also be part of your role. The ideal candidate holds a degree in Computer Science Engineering, Data Science, or related fields. A minimum of 2 years of experience as an ML Engineer or Data Scientist is required, along with strong programming skills in Python and familiarity with libraries such as Tensorflow, PyTorch, and Pandas. Proficiency in SQL/NoSQL for database querying, working with data extraction and ETL pipelines, and experience in NLP, Neural Networks, and Gen AI technologies are essential. Familiarity with transfer learning on LLM models and deploying ML models to cloud services like AWS/Azure is preferred. Some experience in software development will be advantageous. This is a full-time position with a preferred total work experience of 6 years. The work location is in person.,

As a Machine Learning/AI Engineer, your primary role will involve designing, developing, and implementing machine learning models and AI solutions using Python. You will collaborate closely with various teams to comprehend business requirements, pinpoint opportunities for leveraging machine learning and AI technologies, and create solutions to tackle complex challenges. Working with extensive datasets, you will apply statistical analysis and machine learning techniques to extract valuable insights and construct scalable and robust algorithms. Your key responsibilities will encompass understanding business problems in collaboration with stakeholders, collecting and preprocessing large datasets from diverse sources, developing machine learning models and AI algorithms using Python libraries like TensorFlow, PyTorch, scikit-learn, or similar, engineering features from raw data to enhance model performance and interpretability, training, validating, and fine-tuning machine learning models utilizing appropriate evaluation metrics and validation techniques, deploying machine learning models into production environments with a focus on scalability, reliability, and performance, monitoring model performance in production, conducting periodic model retraining, and addressing any arising issues, documenting code, algorithms, and processes to facilitate knowledge sharing and maintainability, staying informed about the latest advancements in machine learning and AI research, and exploring innovative solutions to enhance existing systems. Ideally, you should possess over 3 years of demonstrated experience in developing and deploying machine learning models and AI solutions using Python, with a preference for familiarity with deep learning frameworks. Proficiency in Python programming and libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy is expected. A strong grasp of statistical concepts, linear algebra, calculus, and probability theory is essential. Furthermore, effective problem-solving skills, excellent communication abilities to interact with cross-functional teams and stakeholders, meticulous attention to detail in data analysis and model development, and a willingness to adapt to new technologies and changing project requirements are highly valued. Exposure to NetSuite cloud ERP/Platform is considered an added advantage. This is a full-time position offering health insurance and leave encashment benefits. The work schedule involves fixed shifts from Monday to Friday. Applicants are required to have a minimum of 3 years of experience in deep learning and be located in Hyderabad, Telangana, with work being conducted in person.,

As a skilled AI/ML Engineer, your primary responsibility will be to develop and train AI/ML models to enhance the functionalities of virtual humans, focusing on emotion detection, facial recognition, and speech synthesis. Your role will involve working on data preprocessing to ensure that datasets are clean, labeled accurately, and optimized for effective model training. Collaboration with senior engineers will be essential to implement and optimize deep learning models using frameworks such as TensorFlow, Keras, or PyTorch. Furthermore, you will play a key role in assisting in the deployment of AI models, guaranteeing their optimal performance in real-time applications. Your expertise will be required to conduct model evaluation and tuning, aiming to enhance accuracy, performance, and efficiency. Additionally, you will have the opportunity to contribute to research and innovation in AI applications for digital humans, exploring cutting-edge techniques in machine learning and AI. Join a company dedicated to creating hyper-realistic virtual influencers that elevate marketing returns for both brands and individuals. Be a part of an exciting journey with Kshan, India's first virtual influencer who can engage with people on various platforms like Instagram. Follow Kshan's lifestyle and witness the future of virtual interactions.,

Description We are seeking an experienced AI/ML Engineer to join our dynamic team in India. The ideal candidate will have a strong background in machine learning and artificial intelligence, with a proven track record of developing and deploying innovative AI solutions. Responsibilities Design, develop, and implement machine learning models and algorithms to solve complex business problems. Collaborate with cross-functional teams to understand requirements and develop AI solutions. Perform data analysis and preprocessing to ensure high-quality input for models. Monitor and optimize the performance of AI/ML models in production. Stay updated with the latest AI/ML trends and technologies to continually improve our systems. Skills and Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. 3-6 years of experience in AI/ML development and implementation. Proficiency in programming languages such as Python, R, or Java. Strong knowledge of machine learning frameworks like TensorFlow, Keras, or PyTorch. Experience with data manipulation and analysis using libraries such as Pandas and NumPy. Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for deploying ML solutions. Understanding of algorithms and data structures, as well as statistical analysis and predictive modeling techniques. Excellent problem-solving skills and the ability to work independently as well as in a team.

Description We are looking for a skilled Data Scientist to join our team in India. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling, and will be responsible for transforming raw data into actionable insights. Responsibilities Analyze large datasets to derive actionable insights. Develop predictive models and machine learning algorithms. Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions. Prepare and present reports that communicate trends, patterns, and predictions using relevant data. Maintain and improve existing data pipelines and workflows. Skills and Qualifications Proficiency in programming languages such as Python or R. Experience with data manipulation and analysis using libraries like Pandas, NumPy, and Scikit-learn. Strong understanding of machine learning algorithms and statistical methods. Knowledge of SQL and experience with relational databases. Familiarity with data visualization tools such as Tableau or Power BI. Excellent problem-solving skills and ability to work with complex datasets.

As the AI Solutions Architect, you will be responsible for designing and implementing AI/ML solutions to advance the ZL Platform. Your role involves collaborating with stakeholders to identify business needs, proposing technical solutions, and overseeing the implementation of the chosen solutions. You will partner with Engineering, Product, and Sales teams to secure design wins at customers, enabling the development and growth of ZL product features through customer feedback and PoC evaluations. Additionally, you will be accountable for the success, quality, and timely delivery of AI/ Machine Learning components. Acting as a problem solver, you will address organizational and process challenges by leveraging your technical expertise to bridge gaps, streamline operations, and facilitate the smooth execution of partnership initiatives. It is crucial to stay updated on AI and Data Engineering trends to enhance team performance and product quality. In terms of qualitative expectations, you are expected to foster a culture of innovation, continuous improvement, and excellence in software development. You should take ownership of problems, acquire necessary knowledge, and demonstrate the ability to work efficiently in an environment with loosely defined tasks and competing priorities. Collaboration with various teams within the organization, including Engineering/Research, Sales, Product, and Marketing, is essential. Effective verbal and written communication skills, as well as technical presentation abilities, are key requirements. A self-starter mindset with a passion for growth, enthusiasm for continuous learning, and the ability to share findings across the team are highly valued qualities. The ideal candidate should have experience working in AI/ML for over 10 years, preferably with vector databases, and possess a PhD or master's degree in computer science, Artificial Intelligence, or related disciplines. Knowledge of libraries such as PyTorch and transformers, quantization, model deployment, and fine-tuning LLM using PyTorch is preferred for this role.,

Proficiency in machine learning, AI, and statistical modeling techniques, with a strong track record of developing and deploying successful predictive models in a business setting. Strong proficiency in Python and SQL and experience with data science libraries and tools such as: Spark, scikit-learn, XGBoost, LightGBM etc. Proficiency in Neural Networks is an added advantage. Familiarity with standard software engineering practices and tools including object-oriented programming, test-driven development, CI/CD, git, task orchestration (Airflow) and AWS tooling. Strong understanding of credit risk management, lending practices, and regulatory requirements within the financial industry. Good communication and presentation skills.

Description We are looking for a Machine Learning Engineer with 3-9 years of experience to join our dynamic team in India. The ideal candidate will have a strong background in machine learning algorithms and data analysis, as well as the ability to work collaboratively in a fast-paced environment. Responsibilities Design and implement machine learning models and algorithms to solve real-world problems. Collaborate with data scientists and software engineers to build scalable data pipelines and machine learning systems. Analyze large sets of structured and unstructured data to derive actionable insights and improve model performance. Conduct experiments to validate model performance and ensure compliance with industry standards. Stay updated with the latest advancements in machine learning and artificial intelligence technologies. Skills and Qualifications Strong proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Solid understanding of statistical analysis and data mining techniques. Familiarity with SQL and NoSQL databases for data manipulation and storage. Knowledge of cloud computing platforms like AWS, Google Cloud, or Azure for deploying machine learning solutions.

We are seeking an experienced Data Scientist to join our dynamic team in India. The ideal candidate will have a proven track record of leveraging data to solve business problems and drive strategic decision-making. Responsibilities Analyze large datasets to derive actionable insights. Develop predictive models using statistical techniques and machine learning algorithms. Collaborate with cross-functional teams to understand data needs and provide insights. Create data visualizations to communicate findings effectively to stakeholders. Design and implement data collection systems and other strategies to optimize statistical efficiency and data quality. Skills and Qualifications 5-10 years of experience in data science or related field. Proficiency in programming languages such as Python, R, or SQL. Strong understanding of statistical analysis and machine learning techniques. Experience with data visualization tools such as Tableau, Power BI, or Matplotlib. Familiarity with big data technologies like Hadoop, Spark, or similar frameworks. Excellent problem-solving skills and ability to work with complex datasets. Strong communication skills to convey findings to non-technical stakeholders.

You are a talented and motivated Generative AI Data Scientist Lead sought by Accenture AI to join the Banking team. Leveraging your expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms, you will drive and lead the development and delivery of innovative solutions to enhance AI capabilities. Collaborating with cross-functional teams, you will design, develop, and implement generative AI solutions to meet business needs. Your key responsibilities will include: - **Independent Project Leadership**: Taking ownership of end-to-end project delivery with minimal supervision. - **Pod Leadership**: Leading and mentoring a small development pod of data scientists and engineers to ensure collaboration and timely delivery of high-quality solutions. - **Model Development**: Designing, developing, and deploying state-of-the-art generative AI models for various applications. - **Strategy Development**: Providing strategic recommendations to clients on integrating generative AI into workflows. - **Ethical AI Practices**: Ensuring responsible use of generative AI by addressing biases and compliance with regulations. - **Performance Evaluation**: Developing metrics to assess generative models" performance. - **Collaboration**: Working closely with stakeholders to understand requirements and deliver impactful AI solutions. - **Research and Innovation**: Staying updated with advancements in generative AI and applying knowledge to improve models. - **Mentorship**: Guiding and mentoring junior team members to foster a culture of innovation and learning. You should possess: - **6+ years of experience** in Data Science, Machine Learning, or related fields with a focus on Generative AI models. - Proficiency in **Python programming** and experience with **machine learning frameworks** like TensorFlow, PyTorch. - Hands-on experience with **cloud platforms** (AWS, GCP, Azure) for deployment and solution building. - Ability to work with **Docker, Kubernetes, and API Development** for deploying generative AI models. - Strong analytical, problem-solving, and critical thinking skills. - Expertise in **ethical AI practices** and understanding of biases and regulations in Generative AI. - Excellent verbal and written communication skills to convey complex concepts clearly. Additional qualifications include experience in large-scale data processing, NLP, computer vision, contributions to open-source AI/ML projects, cloud integrations, and performance optimization. Leadership experience in guiding teams and managing AI projects is also desired. This position requires a **minimum of 6 years of experience** in Data Science, Machine Learning, or related fields, along with a **Masters or Ph.D.** in Computer Science, Data Science, Statistics, or a related field.,

We are looking for a highly experienced Voice AI /ML Engineer to take the lead in designing and deploying real-time voice intelligence systems. This position specifically involves working on ASR, TTS, speaker diarization, wake word detection, and developing production-grade modular audio processing pipelines to support next-generation contact center solutions, intelligent voice agents, and high-quality audio systems. You will be operating at the convergence of deep learning, streaming infrastructure, and speech/NLP technology, with a focus on creating scalable, low-latency systems that cater to diverse audio formats and real-world applications. Your responsibilities will include: - Building, fine-tuning, and deploying ASR models such as Whisper, wav2vec2.0, and Conformer for real-time transcription. - Developing high-quality TTS systems using VITS, Tacotron, FastSpeech for natural-sounding voice generation. - Implementing speaker diarization to segment and identify speakers in multi-party conversations using embeddings and clustering techniques. - Designing wake word detection models with ultra-low latency and high accuracy even in noisy conditions. In addition to the above, you will also be involved in: - Architecting bi-directional real-time audio streaming pipelines utilizing WebSocket, gRPC, Twilio Media Streams, or WebRTC. - Integrating voice AI models into live voice agent solutions, IVR automation, and AI contact center platforms. - Building scalable microservices for audio processing, encoding, and streaming across various codecs and containers. - Leveraging deep learning and NLP techniques for speech and language tasks. Furthermore, you will be responsible for: - Developing reusable modules for different voice tasks and system components. - Designing APIs and interfaces for orchestrating voice tasks across multi-stage pipelines. - Writing efficient Python code, optimizing models for real-time inference, and deploying them on cloud platforms. Join us to be part of impactful work, tremendous growth opportunities, and an innovative environment at Tanla, where diversity is championed and inclusivity is valued.,

As an experienced and passionate AI/ML Trainer, you will be responsible for delivering hands-on training for a structured Artificial Intelligence & Machine Learning program. This contract-based opportunity is ideal for professionals with strong technical expertise and a flair for teaching. Your key responsibilities will include delivering in-depth classroom and lab-based training sessions on core AI/ML topics, designing, developing, and maintaining training material, assignments, and project modules, conducting doubt-clearing sessions, assessments, and live coding exercises, guiding students through capstone projects and real-world datasets, evaluating learner performance, and providing constructive feedback. It will also be your responsibility to stay updated with the latest industry trends, tools, and techniques in AI/ML. The topics you will cover during the training sessions include Python for Data Science, Statistics and Linear Algebra Basics, Machine Learning (Supervised, Unsupervised, Ensemble Techniques), Deep Learning (ANN, CNN, RNN, etc.), Natural Language Processing (NLP), Model Deployment (Flask, Streamlit, etc.), and hands-on experience with libraries like NumPy, Pandas, Scikit-learn, TensorFlow/Keras, OpenCV, and tools such as Jupyter, Git, Google Colab, and VS Code. To be eligible for this role, you should have a Bachelor's or Master's degree in Computer Science, Data Science, or a related field, along with at least 24 years of relevant industry/training experience in AI/ML. Strong communication and presentation skills are essential, as well as the ability to mentor and engage learners of varying skill levels. Prior training or teaching experience, whether academic or corporate, is preferred. Your skills should include expertise in ML, scikit-learn, TensorFlow, Jupyter, Natural Language Processing, OpenCV, Python for Data Science, Google Colab, Deep Learning, Model Deployment, NumPy, Keras, Linear Algebra, Statistics, Pandas, Git, VS Code, and a good understanding of contractual, artificial intelligence, and machine learning concepts.,

We are seeking a backend developer with experience in integrating open-source LLMs (e.g., Mistral, LLaMA) and vector databases (such as FAISS, Qdrant, Weaviate, Milvus) in offline or edge environments. As part of the team, you will be involved in developing core APIs and infrastructure to facilitate embedding pipelines, retrieval-augmented generation (RAG), and LLM inference on local or mobile hardware. Your responsibilities will include designing and implementing backend services that connect with local LLMs and vector databases, creating APIs to support engineering, retrieval, and inference, integrating embedding models (e.g., BGE, MiniLM), and managing chunking/processing pipelines. Additionally, you will be optimizing performance for offline or constrained environments such as mobile and embedded devices, packaging and deploying models using frameworks like Ollama, llama.cpp, gguf, or on-device runtimes, as well as handling local file I/O, document ingestion, metadata tagging, and indexing. About the Company: Infoware is a process-driven software solutions provider that specializes in tailored software solutions. Our expertise lies in collaborating with enterprises and startups to deliver comprehensive end-to-end solutions. To learn more about our company, please visit our website at https://www.infowareindia.com/,

As a Data Scientist AI/ML Developer, you will be responsible for various key tasks related to data collection, analysis, model development, and implementation of advanced technologies. You should have a strong understanding of data science methodologies and experience in working with machine learning models. This position is suitable for freshers as well as candidates with up to 5 years of experience. Your primary responsibilities will include gathering, cleaning, and analyzing large datasets for diverse applications. You will also be involved in building, training, and evaluating machine learning and deep learning models for tasks related to computer vision, natural language processing (NLP), and generative AI. You will utilize OpenCV to create solutions for image classification, object detection, facial recognition, and other vision-based tasks. Additionally, you will develop and fine-tune Generative Adversarial Networks (GANs) for synthetic data generation and image manipulation. Collaboration with cross-functional teams is essential in this role, as you will work closely with data engineers, software developers, and business analysts to integrate data-driven insights into production environments. Staying updated with the latest developments in AI, data science, and generative AI is crucial, and you should be able to apply best practices to projects effectively. Ensuring that machine learning models and data pipelines are scalable, efficient, and ready for production deployment is also a key part of your responsibilities. In terms of required skills, you should have strong proficiency in computer vision techniques using OpenCV, hands-on experience with Generative Adversarial Networks (GANs), and familiarity with LangChain, GPT models, and other generative AI frameworks. Proficiency in Python and relevant ML libraries such as TensorFlow and PyTorch is essential. Expertise in data preprocessing, feature engineering, and working with large datasets is also required. Preferred skills include experience in Natural Language Processing (NLP), model deployment using cloud services and containerization, familiarity with transformer architectures, and knowledge of big data technologies. Additionally, possessing soft skills such as strong problem-solving abilities, effective communication, and a continuous learning mindset will be advantageous in this role.,

Lead data science team to deliver ML/NLP solutions. Build scalable models using Python, ensure data governance, collaborate across teams, and present insights. Requires expertise in ML, NLP, Python, data visualization, and strong leadership.

We are looking for a skilled Data Engineer to join our team, working on end-to-end data engineering and data science use cases. The ideal candidate will have strong expertise in Python or Scala, Spark (Databricks), and SQL, building scalable and efficient data pipelines on Azure. Responsibilities include designing, building, and maintaining scalable ETL/ELT data pipelines using Azure Data Factory, Databricks, and Spark. Developing and optimizing data workflows using SQL and Python or Scala for large-scale data processing and transformation. Implementing performance tuning and optimization strategies for data pipelines and Spark jobs to ensure efficient data handling. Collaborating with data engineers to support feature engineering, model deployment, and end-to-end data engineering workflows. Ensuring data quality and integrity by implementing validation, error-handling, and monitoring mechanisms. Working with structured and unstructured data using technologies such as Delta Lake and Parquet within a Big Data ecosystem. Contributing to MLOps practices, including integrating ML pipelines, managing model versioning, and supporting CI/CD processes. Primary Skills required are Data Engineering & Cloud proficiency in Azure Data Platform (Data Factory, Databricks), strong skills in SQL and either Python or Scala for data manipulation, experience with ETL/ELT pipelines and data transformations, familiarity with Big Data technologies (Spark, Delta Lake, Parquet), expertise in data pipeline optimization and performance tuning, experience in feature engineering and model deployment, strong troubleshooting and problem-solving skills, experience with data quality checks and validation. Nice-to-Have Skills include exposure to NLP, time-series forecasting, and anomaly detection, familiarity with data governance frameworks and compliance practices, basics of AI/ML like ML & MLOps Integration, experience supporting ML pipelines with efficient data workflows, knowledge of MLOps practices (CI/CD, model monitoring, versioning). At Tesco, we are committed to providing the best for our colleagues. Total Rewards offered at Tesco are determined by four principles - simple, fair, competitive, and sustainable. Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays. Tesco promotes programs supporting health and wellness, including insurance for colleagues and their family, mental health support, financial coaching, and physical wellbeing facilities on campus. Tesco in Bengaluru is a multi-disciplinary team serving customers, communities, and the planet. The goal is to create a sustainable competitive advantage for Tesco by standardizing processes, delivering cost savings, enabling agility through technological solutions, and empowering colleagues. Tesco Technology team consists of over 5,000 experts spread across the UK, Poland, Hungary, the Czech Republic, and India, dedicated to various roles including Engineering, Product, Programme, Service Desk and Operations, Systems Engineering, Security & Capability, Data Science, and others.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Must have experience with Machine Learning Model Development. Expert Level Proficiency in Data Handling (SQL). Hands-on with Model Engineering and Improvement. Strong experience in Model Deployment and Productionalization. Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains. Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost, and Keras. Ability to write efficient, clean, and scalable code for model development and evaluation. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. Ability to analyze model samples in relation to model scores, identify patterns, and iteratively refine models for improved performance. Strong expertise in deploying machine learning models to production systems. Familiarity with the end-to-end process of model deployment, including data preprocessing, model training, optimization, and integration into production environments. We recognise the significance of flexible work arrangements to provide support in a hybrid mode, you will get an environment to maintain a healthy work-life balance. Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as AIML, Machine Learning. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.,

DecisionX is pioneering a new category with the world's first Decision AI, an AI Super-Agent that assists high-growth teams in making smarter, faster decisions by transforming fragmented data into clear next steps. Whether it involves strategic decisions in the boardroom or operational decisions across various departments like Sales, Marketing, Product, and Engineering, down to the minutiae that drives daily operations, Decision AI serves as your invisible co-pilot, thinking alongside you, acting ahead of you, and evolving beyond you. We are seeking a dedicated and hands-on AI Engineer to join our Founding team. In this role, you will collaborate closely with leading AI experts to develop the intelligence layer of our exclusive "Agentic Number System." Key Responsibilities - Building, fine-tuning, and deploying AI/ML models for tasks such as segmentation, scoring, recommendation, and orchestration. - Developing and optimizing agent workflows using LLMs (OpenAI, Claude, Mistral, etc.) for contextual reasoning and task execution. - Creating vector-based memory systems utilizing tools like FAISS, Chroma, or Weaviate. - Working with APIs and connectors to incorporate third-party data sources (e.g., Salesforce, HubSpot, GSuite, Snowflake). - Designing pipelines that transform structured and unstructured signals into actionable insights. - Collaborating with GTM and product teams to define practical AI agent use cases. - Staying informed about the latest developments in LLMs, retrieval-augmented generation (RAG), and agent orchestration frameworks (e.g., CrewAI, AutoGen, LangGraph). Must Have Skills - 5-8 years of experience in AI/ML engineering or applied data science. - Proficient programming skills in Python, with expertise in LangChain, Pandas, NumPy, and Scikit-learn. - Experience with LLMs (OpenAI, Anthropic, etc.), prompt engineering, and RAG pipelines. - Familiarity with vector stores, embeddings, and semantic search. - Expertise in data wrangling, feature engineering, and model deployment. - Knowledge of MLOps tools such as MLflow, Weights & Biases, or equivalent. What you will get - Opportunity to shape the AI architecture of a high-ambition startup. - Close collaboration with a visionary founder and experienced product team. - Ownership, autonomy, and the thrill of building something from 0 to 1. - Early team equity and a fast growth trajectory.,

Key Responsibilities: Responsibilities Anchor ML development track in a client project Data collection profiling EDA data preparation AI Model development experimentation tuning validation Present findings to business users project management teams Propose ML based solution approaches estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoring Guide junior team members evangelize AI in organization Technical skills Programming Python R SQL ML algorithms o Statistical ML algorithms o Deep Neural Network architectures o Model ensembling o Generative AI models o ML for Responsible AI AI domains NLP speech computer vision structured data Learning patterns supervised unsupervised reinforcement learning Tools for data analysis auto ML model deployment scaling model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets pre built models available in open community and 3rd party providers Knowledge of software development architectures Knowledge of hyperscalers their AI capabilities Azure AWS GCP Knowledge of Model Quantization and Pruning Preferred Skills: Technology->Machine learning->data science,Technology->Data Science->Machine Learning,Technology->Machine Learning->Accord,Technology->Machine Learning->Generative AI

Description We are looking for a skilled Data Scientist to join our team in India. The ideal candidate will have 3-10 years of experience in data analysis, machine learning, and statistical modeling, with a passion for turning data into actionable insights. Responsibilities Analyze large datasets to extract meaningful insights and trends. Develop predictive models and machine learning algorithms to improve business outcomes. Collaborate with cross-functional teams to understand data requirements and provide data-driven solutions. Visualize data findings using tools like Tableau or Power BI for effective communication to stakeholders. Stay updated with the latest industry trends and advancements in data science and analytics. Skills and Qualifications Proficiency in programming languages such as Python or R. Experience with data manipulation tools and libraries such as Pandas, NumPy, or SQL. Strong understanding of machine learning algorithms and frameworks such as Scikit-learn or TensorFlow. Familiarity with data visualization tools like Matplotlib, Seaborn, or Tableau. Excellent problem-solving skills and ability to work with complex datasets.

The role will oversee the strategic direction and execution of machine learning projects, working closely with data scientists, software engineers, and product teams. The aim is to enhance services through innovative AI/ML solutions, including building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and enhance customer experiences. Key Responsibilities: - Define and drive the strategic vision for machine learning initiatives. - Lead the development and optimization of machine learning models. - Supervise the preprocessing and analysis of large datasets. - Deploy and maintain ML solutions in production environments. - Collaborate with cross-functional teams to integrate ML models into products and services. - Monitor and evaluate the performance of deployed models and make necessary adjustments. - Mentor and guide junior engineers and data scientists. - Ensure adherence to best practices and industry standards in ML development. Minimum Qualifications: - Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent. - Previous management experience. The company values Inclusion, Innovation, Collaboration, and Wellness, guiding the global team to prioritize customers while taking care of themselves, each other, and communities. Those interested in joining the team can visit https://about.pypl.com/who-we-are/default.aspx. Applicants are encouraged to apply regardless of any confidence gap or imposter syndrome.,