5480 Deep Learning Jobs - Page 8

Objectives of this role Develop custom python libraries and data structures for data processing should be able to create data ingestion, curation and validation pipeline for AI model data fine tuning Keep current with technical and industry developments Responsibilities Serve as lead developer to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products Develop libraries in python, spark, or other equivalent programming languages Should have hands on experience in data modeling, processing, and categorization of data Execute analytical experiments to help solve problems Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Analyze data for trends and patterns, and interpret data with clear objectives in mind Implement analytical models in production by collaborating with software developers and machine-learning engineers Required skills and qualifications 5 or more years of experience in Python, big data analytics or AI/Gen AI development projects Proficiency with data mining, mathematics, and statistical analysis Good knowledge of AI based python libraries and usage. Should possess hands on experience in AI/Gen AI based development projects Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Power BI /any reporting tools , SQL, and programming languages (ex: Java/Python, SAS) Ability to work effectively in a dynamic, research-oriented group

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

An AI Data Scientist at IBM is not just a job title – it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: 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 Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 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 (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred o Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Mandatory Skills: Ipython. Experience: 5-8 Years.

We are looking to hire ~3-5 talented Full stack developers with Python or Nodejs/Typescript background to work on building Gen AI solutions. The ideal candidate should have 4-10 years of practical work experience in areas like - integrating/managing APIs, async programming frameworks/libraries, state management , concurrency , containerization and telemetry. The ideal candidate who has the desire to work on Gen AI projects would have enrolled themselves in some Gen AI courses, and should have done some reading/exploration by themselves. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Data Science and Machine Learning - Data Science and Machine Learning - Python Beh - Communication User Interface - node.JS - node.JS User Interface - Typescript - Typescript

Strong knowledge of PHP web frameworks {{such as Codeigniter depending on your technology stack. Understanding the fully synchronous behavior of PHP. Understanding of MVC design patterns.

We're hiring 2 full-time interns passionate about Python and curious about Generative AI and LLMs. Work hands-on with our AI engineering team on real-world projects and gain valuable experience in cutting-edge technologies. Perks and benefits AI Internship: Work with USA & Singapore Clients.

Hiring for AI/ML Developer Location: Bengaluru Department: IT / Digital Transformation Role Summary: The AI/ML Developer will be responsible for designing, developing, and deploying machine learning models and AI solutions to support data-driven decision-making, process automation, and enhanced patient care initiatives. Key Responsibilities: Design, develop, train, and deploy machine learning models and AI-driven applications. Collect, clean, and preprocess structured and unstructured data from various hospital systems (HIS, EMR, CRM, etc.). Build predictive models for healthcare analytics, patient outcomes, operations efficiency, and business intelligence. Collaborate with data engineers, backend developers, and UI/UX teams for end-to-end solution delivery. Optimize model performance, scalability, and deployment in production environments. Research and integrate the latest AI/ML frameworks, tools, and healthcare-focused innovations. Document workflows, algorithms, and maintain code repositories. Required Experience: 2 to 5 years of experience in AI/ML development. Experience in healthcare/medical data handling is an advantage. Key Skill Sets: Proficiency in Python, R, or Java with ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras). Expertise in NLP, computer vision, deep learning, or predictive analytics . Knowledge of SQL/NoSQL databases , big data platforms (Hadoop, Spark). Experience deploying models via APIs, Docker, Kubernetes, or cloud (AWS/Azure/GCP) . Familiarity with MLOps tools for CI/CD. Interested candidates may drop their CVs via Email at sharathkumar.k@hcgel.com or WhatsApp at 7676784313

Knowledge & Skills (Must Have) : Confidence & excellent communication Experience of working with Azure DevOps Experience of working with Databricks Knowledge & Skills (Additional) : Experience of using machine learning in Asset management/investment domain preferred Experience of working with either AWS or Azure Experience: At least 4+ years of real world experience working as a Data Scientist. Educational Qualification: Graduate/Masters in any discipline

Responsibilities: * Develop AI solutions using ML, NLP & CV techniques * Optimize performance through neural networks & deep learning * Collaborate with cross-functional teams on project delivery

Requirements: Bachelor's/Master's in Data Science/Computer Science/Statistics or related field Proven experience as a Data Scientist or Trainer Strong skills in Python, R, SQL, data visualization tools, and ML techniques. Excellent communication.

We at Blackstraw.ai. are organizing a Walk-in Interview Drive for Data Scientist with minimum 4 years exp in Data Scientist Mini 4 Years Exp in Computer Vision, NLP and Predictive analytics solutions for various types of business problems. MLOps Mini 4 Years Strong experience in MLOps ; Python, Azure ML pipelines, LLMs, Docker & Kubernetes , CICD for ML deployment Job Requirements Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. 5 plus years total experience with minimum of 3 years of experience in a related position, as a data scientist or business analyst building Computer Vision, NLP and Predictive analytics solutions for various types of business problems. Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch Programming background and expertise in building models using at least one of the following languages: Python, R , C, C++ Strong individual planning and project management skills, able to juggle multiple tasks and priorities. Self-motivated and driven to deliver agreed results on-time Ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience Strong influence and relationship management skills. Key traits: Should have excellent communication skills. Should be self-motivated and willing to work as part of a team. Should be able to collaborate and coordinate in a remote environment. Be a problem solver and be proactive to solve the challenges that come his way. Important Instructions: Do carry a hard copy of your resume, one passport photograph, along with a government identity proof for ease of access to our premises. *Please note: Do not carry any electronic devices apart from your mobile phone at office premises.* *Kindly fill up below form to submit you registration form: https://forms.gle/PKrcnQWv4YbRFXcC9 Preference will be given for Immediate Joiners or who can join within 10-15 days.

Hello It was pleasure connecting with you today. Please find below the company details & job description. Rishabh Software , an India based IT service provider, focuses on cost-effective, qualitative, and timely delivered Offshore Software Development, Recruitment Process Outsourcing (RPO) and Engineering Services. Our Core competency lies in developing customized software solutions using web-based and client/server technology. With over 24 years of Software Development Experience working together with various domestic and international companies, we, at Rishabh Software, provide specific solutions as per the client requirements that help industries of different domains to change business problems into strategic advantages. Product Development division - 5day.io is relatively new and comes with a start-up culture where long path is built for developing reliable & scalable product/s. Through our offices in the US, UK and India, we service our global clients with qualitative and well-executed software development, RPO and Engineering services. Job Title: Data Scientist Lead (Technical Lead) Experience: 7+ years Work Location: work from office from Vadodara, Ahmedabad, Bangalore Job Description With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI, Generative AI areas and implement solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to provide end to end technical solutions leveraging latest AI, Gen AI tools, frameworks for the business problems. This Job requires the following: Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) Deep experience in predictive analytics and statistical modeling Deep experience in successfully making use of the following: Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN Essential Qualifications B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred Technical Qualifications (Essential) At least 2 to 3 ML apps deployed in production At least 1 to 2 Gen AI apps in production. Experience in Computer vision is a must. Core ML experience is a must Hands-on programming experience Hands-on technical design experience Hands-on prompt engineering experience At least 3 Data Science, AI Projects designed, developed and delivered to production At least 1 Generative AI Project designed, developed and delivered to production Primary Skills Hands-on coding experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, NLP Frameworks and similar tools/frameworks Good understanding of business and domain of the applications Hands-on experience in design and development of Gen AI applications using Open Source LLMs and cloud platforms Hands-on experience in design and development of API based applications for AI and Data Science Projects Expertise in GenAI concepts, RAG and Models fine-tuning techniques Understand the concepts of major AI models such as OpenAI, Llama, Hugging Face, Mistral AI etc., and implementation experience Understanding of DevOps pipelines for deployment Good understanding of Data Engineering lifecycle data pipelines, data warehouse, data lake Secondary Skills End to end data engineering project experience using Databricks and Azure Data platform Knowledge of any configuration management tools is desirable Familiarity with containerization and container orchestration services like Docker and Kubernetes Description of Responsibility Sills / Competencies requirement Functional & Technical Responsibilities Understand customers requirements (Business, Functional, Non-Functional etc.,), conduct feasibility study and develop technical specifications for Data Science, AI and Gen AI Projects Design and implement scalable solutions for Data Science, AI and Gen AI Projects using major technology and computing platforms (open source and cloud) Possess excellent analytical and problem-solving skills and be able to understand various forms of data, patterns and derive insights. Should be able to develop efficient Prompts to automate project activities using LLM tools and provide end to end solutions Provide Generative AI solutions for the business/automation requirements using open source LLMs (Open AI, Llama, Mistral etc.,) Collaborate internal and external stakeholders for deriving solution that requires cross functional teams and smoother execution of the projects Provide technical solutions to sales, pre-sales teams for the proposals Develop and guide team members in implementation of solutions related to Data Science, AI and Gen AI Projects Expert knowledge of data modeling and understanding of different data structures Experience with design of AI/ML solutions either as standalone or integrated with other applications Research Orientation Proactive & Clear Communication Collaboration Solution Orientation Solution Articulation Accountability Adaptability / Flexibility Analytical Skills Listening Skills Customer Service Orientation

Developing software, managing cloud infrastructure and implementing AI solutions. Work on deploying, maintaining optimizing cloud-based systems and databases. Designing and coding software in Python, managing cloud resources, ensuring system security

Design and implement machine learning and deep learning models for various applications (e.g., NLP, computer vision, recommendation systems). Build AI-powered features and services into applications and platforms.

Job Title: Lead Data Scientist Location: Chennai Shift: General Experience: 8+ years About the Role We are seeking a hands-on and visionary Lead Data Scientist to design and deliver enterprise-grade Machine Learning (ML) and Generative AI solutions. This role spans the full project lifecycle from blueprint design, data workflows, and technical architecture to development, deployment, and cost estimation. As a leader, you will guide a team of data scientists and engineers, ensuring solutions are scalable, robust, and enterprise-ready. You will report directly to the Practice Head – Data Science and AI . Key Responsibilities Blueprint & Architecture: Translate business needs into logical workflows, data flows, and scalable technical architectures. Solution Delivery: Build and deploy advanced ML and GenAI solutions, including: Generative AI (document intelligence, semantic search, summarization, conversational Q&A). ML use cases (forecasting, classification, clustering, recommendation engines, anomaly detection). Model explainability, accuracy, and traceability. Deployment & Operations: Implement MLOps/GenAIOps practices, including CI/CD, monitoring, retraining, and governance frameworks. Cost & Ownership: Prepare Bills of Materials , infrastructure sizing, and total cost of ownership models for both client and internal deployments. Team Leadership: Mentor, coach, and manage a team of data scientists and engineers to deliver production-ready solutions. Stakeholder Engagement: Clearly communicate technical solutions, align deliverables with business priorities, and drive client adoption. What We Expect Experience: 8 - 12 years in Data Science/AI, with at least 3–4 years leading ML/GenAI solution delivery. Technical Skills: Strong expertise in Python , ML/AI frameworks, and LLM-based architectures. Hands-on experience with cloud platforms (AWS, Azure, GCP) . Familiarity with vector databases, RAG pipelines , and scalable data architectures. Business & Analytics: Solid foundation in BI tools, hypothesis testing, actionable insights, and making business-driven recommendations. Delivery Track Record: Proven history of taking solutions from design deployment adoption . Cost Estimation: Experience in infrastructure requirement analysis and ownership cost modeling. Education: Degree in Statistics, Mathematics, Economics, Computer Science, AI/ML, Data Science, or an equivalent quantitative discipline. Leadership & Soft Skills: Ambitious yet pragmatic leader with strong problem-solving, communication, and stakeholder management abilities.

We build AI solutions to solve real-world retail problems, and were looking for brilliant minds to join us. Our team is focused on revolutionizing the retail industry through AI-driven innovations that enhance customer experiences, optimize operations, and drive business growth. We are seeking a talented and motivated AI Researcher to join our AI team. In this role, you will design, develop, and implement advanced AI models and algorithms tailored to the unique challenges of the retail domain. Work on projects ranging from personalized recommendation systems to work force optimization, demand sensing, multi agent systems, Digital Humans, Personified AI, Embodied AI etc. Research and develop state-of-the-art machine learning, deep learning, and reinforcement learning models to solve retail-specific problems. Define and lead the research agenda for AI, focusing on generative AI, multi agent systems and emerging advancements such as reasoning optimization, AI governance etc. Collaborate with cross-functional teams (data engineers, product managers, and domain experts) to identify high-impact use cases in retail, such as pricing strategies, supply chain efficiency, and customer behavior prediction. Analyze large datasets from retail environments to uncover insights and validate model performance. Prototype and deploy scalable AI solutions that integrate seamlessly into retail workflows. Stay ahead of the curve by exploring emerging AI techniques and adapting them to retail challenges. Publish findings, contribute to internal knowledge sharing, and potentially represent Litmus7 at industry conferences or in academic publications.

Youll create impact by: PhD/masters degree in computer science and from a reputed institute with grass-root experience of at least 3+ years in designing & solving complex problems and deriving actionable insights. Hands-on experience with one or more of the following is a must: Solid hands-on experience in training deep convolutional and/or recurrent networks using frameworks like Tensorflow, Caffe and PyTorch Hands-on experience using OpenCV and OpenGL Research, develop and prototype software related to object detection, tracking, semantic segmentation, action recognition, 3D reconstruction, SLAM Hands-on experience dealing with multimodal data (audio, video, text, sensors, etc.,) and suggest cases with the best technology option for prototyping and productization. Optimization techniques and model compression for deployment on resource-constrained hardware/edge devices Image processing, Computer vision and Video Analytics problems with a clear understanding and ability to implement algorithms (especially deep learning algorithms) Experience building AI powered solutions for embedded platforms & compute constraint environments is a plus Knowledge of SaaS fundamentals is a plus Knowhow of solution design, architecture, software packaging using Docker/Kubernetes & deployment on cloud platforms is a plus Excited to collaborate with team members from idea generation, prototyping, present developed solutions and recommendations to business partners, and influence future technology roadmap and strategy of the portfolio. Have rich experience in understanding and influencing technology choices and building solutions to remove obstacles to adoption. Closely follow latest developments in artificial intelligence and be an early adopter of disruptive trends/technologies Extremely energetic and willing to walk the extra mile for achieving targets and be an active AI evangelist within and outside Siemens.

Responsibilities Data mining and analysis using state-of-the-art methods Processing, cleansing, and verifying the integrity of data used for analyses Building and optimizing data models using machine learning techniques

Build cutting edge models using NLP, ML and AI Techniques for a variety of problems in a variety of domains. Work with engineering team to deploy models in production & validate the models.

Lead the design, development, and deployment of machine learning and NLP-driven solutions. Fine-tune & productionize Large Language Models (LLMs) and other deep learning solutions. Build robust ML-powered web apps, chatbots, & scalable microservices. Required Candidate profile Proficient in Python &relevant libraries. Exp in NLP, LLM fine-tuning. Exp of deep learning concepts (word embeddings, CNN, RNN, LSTM). Exp working with both structured and unstructured data.

We are looking for a Data Scientist to drive end-to-end ML and DL projects. Primary Responsibility: Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor of Technology Knowledge of Large Language Models (LLMs) for text and conversational applications Familiarity with data cleaning, feature engineering, and model evaluation best practices Proficiency in Python, including libraries like pandas, NumPy, and scikit-learn Demonstrated ability to build, train, and optimize machine learning models for production Proven excellent analytical thinking and communication skills for cross-functional collaboration Preferred Qualifications: Hands-on experience with deep learning frameworks (TensorFlow/PyTorch) Experience using cloud platforms (AWS/GCP/Azure) for scalable deployments Exposure to Retrieval-Augmented Generation (RAG) methodologies and AI Agents

Work on AI/ML models, LLMs & scalable backends in our Innovation Lab. Mandatory Skills: Python (NumPy, Pandas, Scikit-learn), PyTorch/TensorFlow, HuggingFace, NLP, Vector DBs (FAISS/ChromaDB/Qdrant), LLM integration

Job Description We are looking for a Gen AI Developer with 7-13 years of hands-on experience in designing, developing, and implementing artificial intelligence and Gen AI solutions across various domains. You will collaborate with cross-functional teams to create robust and scalable Gen AI applications that meet business objectives. Bachelors degree or Masters in computer science, mathematics, or related field. Leverage LLMs and General AI for developing innovative solutions. Apply prompt engineering techniques to enhance the performance of AI applications. Utilize ChatGPT for developing conversational AI and natural language processing solutions. 5+ years of experience in statistical programming languages like Python, database query language SQL, Machine Learning 5+ years of experience in NLP, Text analytics, Document AI, OCR, sentiment analysis, entity recognition, topic modeling 5+ years of experience in statistical modeling, forecasting, classification Good applied statistical skills and advanced statistical techniques and concepts Deep knowledge on ML frameworks such as TensorFlow, Pytorch, Keras, Spacy, scikit-learn. Ability to translate business requirements into conceptual and detailed system architecture and technology solutions. Expertise in ideating, developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, content intelligence. Experience working in at least one cloud environment (AWS/Azure/GCP) and model deployment, orchestration, containerization (Kubernetes). Knowledge of the application of AI technologies for automation such as natural language processing, virtual agents, computer vision, and neural networks. Excellent problem-solving and communication skills. Knowledge on version control systems, such as Git.

Your Role 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 Productionlization Your Profile 5-14 years of 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. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. Strong expertise in deploying machine learning models to production systems. What you will love about working here We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain 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