5485 Deep Learning Jobs - Page 36

Job Title: Data Scientist Position Summary: As a Data Scientist at FSL, you will leverage your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing and Generative AI to develop innovative data-driven solutions and applications You will play a key role in designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI, ensuring efficient deployment and ongoing monitoring of these systems, Key Responsibilities: Model Development and Application: Design and implement advanced ML and DL models Develop web applications for model deployment using Flask and FastAPI to enable real-time data processing and user interaction, Data Analysis: Perform exploratory data analysis to understand underlying patterns, correlations and trends Develop comprehensive data processing pipelines to prepare large datasets for analysis and modeling, Generative AI: Employ Generative AI techniques to create new data points, enhance content generation and innovate within the field of synthetic data production, Collaborative Development: Work with cross-functional teams to integrate AI capabilities into products and systems Ensure that all AI solutions are aligned with business goals and user needs, Research and Innovation: Stay updated with the latest developments in AI, ML, DL, CV and NLP Explore new technologies and methodologies that can impact our products and services positively, Communication: Effectively communicate complex quantitative analysis in a clear, precise and actionable manner to senior management and other departments, Required Skills and Qualifications: Education: BE or Masters or PhD in Computer Science, Data Science, Statistics or a related field, Experience: 3+ years of relevant experience in a data science role with a strong focus on ML, DL and statistical modeling, Technical Skills: Strong coding skills in Python, including experience with Flask or FastAPI Proficiency in ML, DL frameworks (e-g , PyTorch, TensorFlow), CV (e-g , OpenCV) and NLP libraries (e-g , NLTK, spaCy), Generative AI: Experience with generative models such as GANs, VAEs or Transformers, Deployment Skills: Experience with Docker, Kubernetes and continuous integration/continuous deployment (CI/CD) pipelines, Strong Analytical Skills: Ability to translate complex data into actionable insights, Communication: Excellent written and verbal communication skills, Certifications: Certifications in Data Science, ML or AI from recognized institutions is added advantage, Location: Hyderabad, Mumbai, Bangalore and Chennai

Gen AI (strong experience) Machine Learning & Deep Learning Python Deep learning AI ML

Home / Current Openings / AI Trainee AI Trainee Job Type : Full-Time Location : Chennai (WFO) Job Description As an AI Trainee, you will be responsible for developing Computer Vision (CV) Deep Learning models with a long-term view of integrating them with various Detect products You will also be closing working on the data preparation and processing pipelines and innovate faster ways to use the same We are looking for Candidates capable of handling oneself in a technically diverse and demanding atmosphere, Duties And Responsibilities Train Deep learning models Ensuring that best practices are followed in solving AI problems including thorough problem analysis, prior research understanding, persistent experimentation and documentation, rapid prototyping, and extensive testing, Creating and executing on processes for thorough performance evaluation of the solution against real-world test cases, Benchmarking against competing solutions, prior research and customers acceptance criteria wherever applicable, Data Management Planning the nature, volume and source of data required to effectively solve the problem, Ideating with relevant people on best ways to source and annotate this data, Following up with Labelling Teams on a continual basis to ensure minimal rework, Others Good articulation of your thoughts and the ability to write technical documentation and blog posts To be able to contribute back to open-source libraries and integrate with their testing mechanisms when required Requirements And Qualification Adapt at modelling Computer Vision problems using Deep Learning frameworks Adept at using git and using IDEs Projects, certification, or open-source work showing experience in using deep learning for Computer Vision and Data Management Hands on experience in computer vision; key areas of interest include object detection, image/ video, tracking and recognition, OCR detection, activity recognition, Preferred Skills And Knowledge Experience in Docker Experience in Nvidia frameworks like TLT, Deep stream Experience in fields relating to Image Stitching, 3-D reconstruction, video analysis, clustering, object detection, semantic image segmentation, Knowledge/Experience on deploying programs into compute limited hardware like RPi/Nvidia Jetson Strong understanding of theory behind DL techniques such as CNNs, supervised and unsupervised Learning, optimization techniques, etc

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

Primary Responsibilities: Design, develop, and implement data pipelines and ETL processes using Azure services, with a focus on Azure Databricks, Azure Data Factory (ADF), Azure Functions, and Azure AI Search Leverage Python SDKs to build and optimize data processing and analysis tasks, ensuring high performance and scalability in data workflows Write and deploy Python applications that can run on Kubernetes, ensuring efficient containerization and orchestration of data processing tasks Implement and integrate Azure AI Search capabilities to enhance data accessibility and retrieval for analytics and business intelligence Utilize version control tools such as GitHub for code management and collaboration, and manage multiple activities in a fast-paced environment while adhering to best practices in coding and documentation 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 Qualifications - External Required Qualifications: 8+ years of experience in a data engineering role. Solid experience with Azure services, particularly Azure Databricks, ADF, and Azure AI Search. Experience writing and deploying Python applications, including familiarity with containerization and orchestration tools. Experience working with diverse data formats and data storage solutions. Familiarity with version control software (e.g., GitHub) and agile methodologies. Proficiency in Python and its relevant libraries and Spark, with a focus on leveraging Python SDKs for data engineering tasks. Proven solid problem-solving and analytical skills, with a keen attention to detail. Proven excellent communication and collaboration abilities, with a proven track record of working effectively in teams.

Assist in building and testing ML/DL models for NLP, speech, or computer vision tasks Preprocess, clean, and annotate datasets Support in training and fine-tuning models using TensorFlow, PyTorch , or similar frameworks Collaborate with AI engineers and software teams for model integration Stay updated with current AI research and tools Required Qualifications: Good understanding of Python and ML libraries (scikit-learn, NumPy, pandas, etc.) Familiarity with deep learning frameworks (TensorFlow/PyTorch) Basic knowledge of NLP, computer vision, or speech processing is a plus Strong problem-solving and analytical skills Eagerness to learn and contribute in a fast-paced environment

Having excellent communication, reasoning, and structured problem-solving. Holding Bachelor s/Master s degree in Computer Science, Data Science, Linguistics, or related field. Strong understanding of NLP, LLMs, and Generative AI frameworks (e.g., GPT, Claude, LLaMA, Mistral). Interested in Artificial Intelligence, Natural Language Processing (NLP), and human-computer interaction. Strong analytical and problem-solving with attention to detail. Responsibilities Research, experiment, and design effective prompts for LLMs across different applications. Test, and refine prompts to deliver accurate, context-aware, and reliable AI outputs. Analyze model outputs, identify gaps, and iterate prompts for better performance. Optimize prompts using few-shot, zero-shot, and chaining strategies to improve model performance. Collaborate with data scientists, ML engineers, and product teams to integrate AI capabilities into applications. Evaluate and validate AI outputs for accuracy, consistency, bias reduction, and alignment with business needs. Build and maintain a library of prompt templates, frameworks, and best practices. Research and adopt emerging techniques in prompt engineering, Retrieval Augmented Generation (RAG), and fine-tuning. Document workflows, prompt strategies, and evaluation methodologies for cross-team knowledge sharing. Ensure compliance with ethical AI guidelines and reduce risks of hallucinations or biased responses. Conduct A/B testing and experiments to continuously improve output quality and scalability

Design and implement machine learning models to drive business insights and innovation. Lead cross-functional teams to develop and deploy ML solutions at scale. Evaluate and improve model accuracy, performance, and reliability. Translate business challenges into ML use cases and technical requirements. Drive experimentation and A/B testing to validate model effectiveness. Stay updated on the latest research, frameworks, and trends in ML/AI. Mentor junior team members and contribute to the ML capability roadmap.

AMRITA VISHWA VIDYAPEETHAM is looking for Assistant Professors in Statistics and Data Science to join our dynamic team and embark on a rewarding career journey An Assistant Professor is a full-time academic position in a college or university, responsible for teaching, conducting research, and serving on committees They play a critical role in contributing to the intellectual life of their institution and in preparing the next generation of professionals and leaders Responsibilities:Teach a range of courses in the department, at both the undergraduate and graduate levelsConduct original research in the field and publish findings in academic journals and at conferences Advise students and mentor junior faculty members Participate in department and university-wide committees, such as curriculum committees and search committeesPursue external funding opportunities to support research and teaching activitiesEngage in professional development activities to stay current in the field and enhance teaching skills Requirements:A record of successful teaching and research, with a strong publication record in academic journals Ability to teach a range of courses in the department, at both the undergraduate and graduate levelsStrong communication and interpersonal skills, with the ability to mentor students and junior faculty membersA commitment to continued professional development and growth

Nielsen Sports is looking for AI / ML Engineer II to join our dynamic team and embark on a rewarding career journey We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters Evaluate model performance using appropriate metrics and iterate on improvements Deployment:Deploy machine learning models into production environments Collaborate with DevOps and IT teams to ensure smooth integration Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time Regularly update and retrain models to adapt to evolving data patterns Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment Create user guides and documentation for end-users and stakeholders Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals Participate in cross-functional team meetings and knowledge-sharing sessions

We are looking for a skilled Senior AI Developer to join our team at ThoughtWorks Technologies (India) Pvt Ltd. The ideal candidate will have a strong background in artificial intelligence and machine learning, with excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment. Roles and Responsibility Design, develop, and deploy AI and ML models using various frameworks and technologies. Collaborate with cross-functional teams to identify business problems and develop solutions. Develop and maintain large-scale data pipelines and architectures. Conduct research and stay updated on the latest trends and advancements in AI and ML. Work closely with stakeholders to understand requirements and deliver high-quality results. Participate in code reviews and contribute to improving overall code quality. Job Requirements Strong proficiency in programming languages such as Python, Java, or C++. Experience with deep learning frameworks like TensorFlow or PyTorch. Knowledge of cloud platforms such as AWS or Google Cloud. Excellent understanding of software development principles and patterns. Strong analytical and problem-solving skills. Ability to work effectively in a team environment and communicate complex ideas clearly.

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals. As a lead 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 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 German (C1 level or higher) is a prerequisite for this role

About The Role This role involves the development and application of engineering practice and knowledge in designing, managing and improving the processes for Industrial operations, including procurement, supply chain and facilities engineering and maintenance of the facilities. Project and change management of industrial transformations are also included in this role. About The Role - Grade Specific Focus on Industrial Operations Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. Your Role Develop and implement Generative AI / AI solutions on Google Cloud Platform Work with cross-functional teams to design and deliver AI-powered products and services Work on developing, versioning and executing Python code Deploy models as endpoints in Dev Environment Solid understanding of python Deep learning frameworks such as TensorFlow, PyTorch, or JAX Natural language processing (NLP) and machine learning (ML) Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI etc Generative AI support in Vertex, specifically handson experience with Generative AI models like Gemini, vertex Search etc Your Profile Experience in Generative AI development with Google Cloud Platform Experience in delivering an AI solution on VertexAI platform Experience in developing and deploying AI Solutions with ML What youll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learnon one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications Location - Hyderabad,Pune,Bengaluru,Chennai,Mumbai

Job Title: AI Engineer Experience: 2+ Years Location: Gurgaon Notice Period: Immediate Joiner Only Job Summary We are looking for a motivated and skilled AI Engineer with 23 years of hands-on experience in developing and applying AI/MLsolutions to real-world business problems. The ideal candidate will have strongexpertise in machine learning, deep learning, and generative AI technologies,along with practical experience in building prototypes, PoCs, andproduction-ready AI systems. Key Responsibilities Develop and deploy AI-driven solutions for automation, workflow optimization, and intelligent decision-making. Build and implement generative AI tools leveraging Large Language Models (LLMs). Design and implement Retrieval-Augmented Generation (RAG) systems and Graph RAG architectures. Create and optimize agents using LangChain and related frameworks. Develop embedding-based search solutions with vector databases (e.g., Chroma, Weaviate). Prototype AI applications using open-source LLMs and APIs (e.g., OpenAI, Anthropic, Cohere, Gemini, Copilot). Work on intelligent document processing, smart form filling, and rule-based automation. Collaborate on chatbot development and agent-assist tools. Contribute to internal tools automation, including co-pilots for operations. Integrate simple user interfaces using Git and lightweight front-end frameworks for AI tools. Required Skills & Experience 2+ years of practical experience in AI/ML solution development. Proficiency in Python, R, or Java with strong programming fundamentals. Expertise in machine learning & deep learning frameworks such as TensorFlow and PyTorch . Hands-on knowledge of NLP techniques and AI model integration. Strong understanding of fundamental algorithms, object-oriented and functional design principles. Skilled in data preprocessing, feature engineering, and model evaluation techniques . Experience with version control systems (Git) for collaboration and code management. Exposure to generative AI, LLMs, and open-source AI ecosystems.

Hiring for AIML Data Scientist - Bangalore Job Summary: We are looking for a highly skilled and motivated AI/ML Data Scientist to join our team. The ideal candidate will be responsible for building, evaluating, and deploying scalable machine learning models and AI-driven solutions to solve complex business problems. You should have a strong background in statistics, machine learning, deep learning, data engineering, and software development. Key Responsibilities: Design, develop, and deploy machine learning models for classification, regression, clustering, NLP, and recommendation systems. Collect, clean, and preprocess large datasets from diverse sources. Use statistical analysis and data mining techniques to extract insights and identify patterns. Develop and maintain data pipelines and model training workflows. Collaborate with cross-functional teams including engineers, product managers, and business stakeholders to define and deliver AI/ML solutions. Monitor model performance in production and implement improvements as necessary. Stay up-to-date with the latest trends and technologies in AI/ML research and applications. Document methodologies, experiments, and results clearly and effectively. Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. 3-5 years of experience in machine learning, data science, or AI. Strong programming skills in Python (preferred), R, or Java. Experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, etc. Proficiency in SQL and working with large-scale data (e.g., Hadoop, Spark). Solid understanding of statistics, probability, and algorithms. Experience deploying models into production (e.g., using Docker, Flask, FastAPI, MLflow). Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. Your Role Design and develop Agentic AI architectures that can autonomously plan, reason, and execute tasks. Implement multi-agent communication protocols for agent-to-agent collaboration and coordination. Work with Large Language Models (LLMs) such as LLaMA, GPT, etc., for language understanding, generation, and task planning. Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to enhance the reasoning capability of agents with external knowledge. Perform fine-tuning of foundational models for specific domains, tasks, or use cases. Design and experiment with lightweight models (e.g., Phi, Tiny LLMs) for efficiency in real-time or on-device scenarios. Collaborate cross-functionally with Data Scientists, ML Engineers, and Product Teams to deliver end-to-end AI solutions. Your Profile Proven experience in developing and deploying Agentic AI systems. Strong experience with LLMs, particularly Metas LLaMA family or similar open-source models. Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and related tools like LangChain, Haystack, etc. Knowledge and experience with model fine-tuning using frameworks like HuggingFace Transformers, PEFT, or LoRA. Experience in implementing agent-to-agent communication frameworks and multi-agent task handling systems. Proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Transformers, etc. Familiarity with prompt engineering and chaining logic for LLMs. What youll love about working here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work . Location - Pune,Bengaluru,Chennai,Hyderabad

About The Role This role involves the development and application of engineering practice and knowledge in designing, managing and improving the processes for Industrial operations, including procurement, supply chain and facilities engineering and maintenance of the facilities. Project and change management of industrial transformations are also included in this role. About The Role - Grade Specific Focus on Industrial Operations Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

Job Description Deep Learning Engineer (Computer Vision) Role Summary We are looking for a highly skilled Deep Learning Engineer (Computer Vision) to join our AI team. The role involves building and deploying cutting-edge computer vision solutions (e.g., image segmentation, pose transfer, generative modeling) using deep learning frameworks. You will work on the full lifecycle of AI solutions from research and experimentation to production deployment and lightweight application development. Key Responsibilities Research, design, and implement advanced computer vision models for tasks such as image segmentation, pose estimation/transfer, and generative modeling. Develop efficient, scalable code in Python using PyTorch (and other relevant libraries). Package and deploy ML models as APIs (preferably using FastAPI) for real-world usage. Build lightweight frontend/backend dashboards or admin panels to monitor, visualize, and manage deployed models. Collaborate with cross-functional teams (product, data, engineering) to integrate AI solutions into products. Optimize model performance for inference speed, scalability, and cost efficiency. Required Skills & Experience Strong hands-on expertise in Deep Learning and Computer Vision (e.g., segmentation, generative models, pose transfer). Proficiency in Python and PyTorch for model development. Experience with API development and model deployment (FastAPI, Flask, or similar). Familiarity with frontend/backend development for building admin dashboards (React, Vue, Django, or similar). Solid understanding of software engineering practices (Git, CI/CD, testing). Experience with GPU-based training and optimization (CUDA, TorchScript, ONNX) is a plus.

Job Summary We are seeking a highly motivated and experienced Senior Computer Vision Engineer to join our dynamic Engineering and Research team. The work involves leveraging the latest advancements in deep learning to create robust and highly accurate systems for image classification, object detection, and semantic segmentation. This position offers the opportunity to contribute to impactful projects, work with the latest technologies, and shape the future of technological innovation and research-driven solutions. Roles & Responsibilities : Lead Deep Learning Model Development: Architect, design, develop, and implement state-of-the-art deep learning models for image classification, object detection, and semantic segmentation tasks. Algorithm Research and Selection: Stay abreast of the latest research and advancements in deep learning for computer vision. Evaluate, benchmark, and select appropriate algorithms and architectures (e. g. , CNNs, Transformers, GANs, etc. ) based on project requirements and performance metrics. Data Strategy and Preprocessing: Collaborate with data scientists and engineers to define data collection strategies, perform extensive data augmentation, labeling, and preprocessing to ensure optimal model training and performance. Model Training and Optimization: Design and execute robust training methodologies, including hyperparameter tuning, regularization techniques, and distributed training strategies to achieve high accuracy and efficiency. Performance Evaluation and Analysis: Conduct rigorous model evaluation, performance profiling, error analysis, and interpretability studies to identify areas for improvement and ensure robust model behavior in diverse scenarios. Deployment and Integration: Work closely with software engineers to integrate trained deep learning models into production systems, considering performance, scalability, and resource constraints. Research and Innovation: Actively contribute to the teams research agenda, identifying new opportunities, proposing innovative solutions, and potentially publishing research findings. Mentorship and Knowledge Sharing: Provide technical leadership and mentorship to junior engineers, fostering a culture of continuous learning and knowledge sharing within the team. Cross-Functional Collaboration: Collaborate effectively with other R&D teams, product managers, and stakeholders to understand requirements, define project scope, and deliver impactful solutions. Documentation: Maintain comprehensive documentation of models, algorithms, experiments, and results.

JOB DESCRIPTION Role: Data Sciences Lead Job Location: Bangalore Department: Research Informatics About Syngene Incorporated in 1993, Syngene International Ltd. is an innovation-focused global discovery, development and manufacturing organization providing integrated scientific services to the pharmaceutical, biotechnology, nutrition, animal health, consumer goods and specialty chemical industries around the world. Syngene s clientele includes world leaders such as Bristol-Myers Squibb, Baxter, Amgen, GSK, Merck KGaA and Herbalife. Its innovative culture is driven by the passion of its 4240- strong team of scientists who work with clients from around the world to solve their scientific problems, improve R&D productivity, speed up time to market and lower the cost of innovation . Job Purpose (1-2 Lines) We are looking for a highly motivated data scientist to lead the data sciences team, develop and apply cutting-edge data analytics, AI/ML methods for data-driven R&D. Key Responsibilities: (Maximum 5-8 Points) A pply a nalytics and predictive modeling, primarily on chemical and biological data Implement AI workflows for enhancing decision-making and creating digital twins of R&D processes Implement data modeling strategies and workflows Research new methods in deep learning and artificial intelligence Interact with domain experts and clients to understand data, business challenges and implement robust, scalable solutions. Lead and develop a data science team Writing research papers and reports Educational Qualification: MS/MTech/PhD in Mathematics / Computer Science / Statistics / Physics with relevant experience Technical/functional Skills: Proven expertise in defining and validating computational approaches to generate hypotheses Deep knowledge of machine and deep learning algorithms and applications Expertise in the use of Python for machine learning and complex data analysis. Knowledge of database design, creation and management Experience leading and coordinating a project team Ability to work in a dynamic multidisciplinary environment Experience: 8 years or more, preferably in an industrial setting Behavioral Skills: Excellent communication skills Objective thinking Problem solving Ability to manage cross-functional team to deliver project goals Ability to plan and manage self and team to achieve organizational goals Equal Opportunity Employer: .

Dear Candidates We are conducting F2F Interview on Saturday for Hyderabad for one of the Reputed MNC :- If Interested Kindly drop your CV to kanishk.mittal@thehrsolutions.in AIML Engineer / AIML Developer - Hyderabad -- Reputed MNC Job Description Key Responsibilities: Design, develop, and maintain scalable, efficient, and reliable systems to support GenAI and machine learning -based applications and use cases Lead the development of data pipelines, architectures, and tools to support data-intensive projects, ensuring high performance, security, and compliance Collaborate with other stakeholders to integrate AI and ML models into production-ready systems Work closely with non-backend expert counterparts, such as data scientists and ML engineers, to ensure seamless integration of AI and ML models into backend systems Ensure high-quality code, following best practices, and adhering to industry standards and company guidelines Hard Requirements: Senior backend engineer with a proven track record of owning the backend portion of projects Experience collaborating with product, project, and domain team members Strong understanding of data pipelines, architectures, and tools Proficiency in Python (ability to read, write and debug Python code with minimal guidance) Mandatory Skills: Machine Learning: experience with machine learning frameworks, such as scikit-learn, TensorFlow, or PyTorch Python: proficiency in Python programming, with experience working with libraries and frameworks, such as NumPy, pandas, and Flask Natural Language Processing: experience with NLP techniques, such as text processing, sentiment analysis, and topic modeling Deep Learning: experience with deep learning frameworks, such as TensorFlow, or PyTorch Data Science: experience working with data science tools

Role Overview: We are looking for an innovative and highly engaged Machine Learning Engineer to join our global team. You will be responsible for designing and maintaining scalable ML pipelines on AWS, optimizing vector databases for retrieval-augmented generation (RAG), and ensuring our Generative AI chatbot delivers state-of-the-art performance. You should be eager to experiment with new ideas, collaborate with a diverse international team, and help build the next generation of AI-powered SaaS solutions. Key Responsibilities: Generative AI & Model Optimization Train, fine-tune, and optimize LLM-powered applications, including chatbots, NER models, and document intelligence solutions. Enhance retrieval-augmented generation (RAG) pipelines by integrating memory-aware, multi-modal retrieval techniques. Experiment with model quantization, distillation, and fine-tuning strategies to improve efficiency and inference speed. ML Infrastructure & Data Engineering Design, implement, and maintain scalable, cloud-native ML pipelines on AWS for real-time and batch processing. Optimize vector database architectures (e.g., Weaviate, Pinecone, FAISS) to enhance chatbot response accuracy. Develop and deploy large-scale data pipelines for data ingestion, transformation, and processing of enterprise-scale datasets. Ensure system scalability, reliability, and cost efficiency in serverless and containerized cloud environments (AWS Lambda, ECS). Innovation & Best Practices: Drive continuous improvement by identifying opportunities for optimizing the performance, scalability, and cost-effectiveness of our ML-based solutions. Stay informed about emerging trends in AI and ML, attending technical seminars, workshops, and industry events to ensure our solutions remain competitive. Collaboration & Innovation: Work closely with Data Scientists, MLOps Engineers, and Software Developers to integrate AI solutions into the SaaS platform. Collaborate with the Product Team to translate business needs into ML-driven features that improve user experience. Drive a culture of experimentationtest new ML frameworks, embeddings, and cloud optimizations. Qualifications: Strong experience in AI/ML development, particularly in Generative AI, NER, and chatbot applications. Expertise in machine learning frameworks like PyTorch, TensorFlow, and DSPy. Proficiency with MLOps tools such as MLFlow, and Docker for containerization. Familiarity with cloud platforms such as AWS, including deploying and managing ML workloads in cloud-native environments. Solid understanding of vector databases and experience with optimizing and scaling large datasets. Experience working in Agile/Scrum environments Ability to work in a collaborative, fast-paced global team spread across multiple time zones. Excellent communication skills, both for collaborating with non-technical stakeholders and producing high-quality technical documentation. Preferred Qualifications: Prior experience in LLM fine-tuning, prompt engineering, or RAG-based architectures. Familiarity with MLOps tools such as Docker, Kubernetes, MLFlow, and Airflow. ublished research papers, blogs, or open-source contributions in AI/ML topics.

Job Title: AI Solution Engineer Duration: Full time role Location: Mumbai/Pune/Bengaluru (Hybrid) Note: Need immediate joiners OR At least in 2-3 weeks. Note: Need immediate joiners OR At least in 2-3 weeks. Note: Need immediate joiners OR At least in 2-3 weeks. Job Description: Requirements: Minimum 6+ years of experience designing, building, and operating cloud-native applications at scale. Expertise in container orchestration frameworks like Kubernetes and containerization technologies like Docker. Expertise in AI/ML/data capabilities, platforms, frameworks and tools. Proven track record deploying and managing cloud environments using Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation. Experience in designing and implementing highly available, scalable, and fault-tolerant systems. Development Lifecycle: End-to-end ownership of the entire software development lifecycle (SDLC) for complex enterprise platforms and products. This includes experience in design, prototyping, development (including unit, integration, and end-to-end testing), deployment, and ongoing operations. Technical Skills: Mastery of essential software development principles with a focus on clean code, design patterns, and best practices. In-depth expertise in at least two of the following programming languages: Python Solid understanding of distributed systems concepts and experience with distributed tracing tools. Strong proficiency in Python and software engineering best practices Solid hands-on experience in Machine Learning, Deep Learning, and NLP Expertise in Generative AI, LLMs, Prompt Engineering, and RAG Experience with Agentic AI frameworks (LangGraph, AutoGPT, CrewAI, or similar) Sound knowledge of MLOps practices including model deployment, versioning, and monitoring Familiarity with LLM orchestration tools: LangChain, LlamaIndex, OpenAI, etc. Experience in cloud ecosystems AWS, Azure, or GCP Excellent problem-solving and communication skills AI/ML Experience: Demonstrated experience in building, deploying, and managing Machine Learning (ML) and Artificial Intelligence (AI) platforms and services. Familiarity with MLOps practices, frameworks (TensorFlow, PyTorch), and tools is a plus Familiarity with modern LLMs and AI agent frameworks like LangChain, LlamaIndex , AutoGen etc. is a strong plus

Senior Data Scientist - Information Retrieval & Generative AI Location: Remote (India) | Type: Full-time | Experience: 5-7+ years Transform How the World Discovers Information Join our AI revolution in transforming how billions discover and interact with information. As a Senior Data Scientist, youll architect next-generation search and retrieval systems that power intelligent experiences across our platform, directly impacting millions of users worldwide. The Challenge Design and deploy state-of-the-art RAG architectures processing petabyte-scale datasets. Build hybrid dense/sparse retrieval pipelines that serve millions of daily queries with sub- second latency. Your models will directly impact product strategy and drive measurable business outcomes for our global user base. • What Youll Do Strategic Leadership Drive end-to-end ML product development from research to production deployment Collaborate with engineering and product teams to translate business requirements into scalable data solutions Mentor junior data scientists and establish best practices for model development Lead breakthrough research in information retrieval and generative AI Technical Execution Design and optimize transformer-based architectures for information retrieval and generation Implement advanced chunking strategies for semantic search and RAG applications Build and maintain real-time ML pipelines processing millions of documents Develop production-ready models with proper monitoring, versioning, and deployment strategies Innovation & Research Research and prototype cutting-edge AI techniques in search, retrieval, and natural language processing Design large-scale experiments and A/B tests to validate model performance and business impact Stay current with latest developments in GenAI and contribute to open-source communities Present findings to executive leadership and influence strategic product decisions What Were Looking For Essential Skills ¢ ¢ ¢ ¢ ¢ Advanced Python Programming with expertise in pandas, scikit-learn, TensorFlow/PyTorch SQL & Database Management for complex query optimization and data pipeline design Machine Learning & Deep Learning with track record of shipping ML products to production Statistics & Probability including advanced statistical modeling and hypothesis testing 5-7+ years of data science experience with 2+ years in senior roles Specialized Expertise ¢ Information Retrieval Systems - Search algorithms, ranking, and relevance optimization ¢ ¢ Generative AI & LLMs - Prompt engineering, fine-tuning, and deployment at scale Content Chunking Strategies - Document processing and semantic segmentation for RAG systems ¢ ¢ Vector Databases - Hands-on experience with Pinecone, Weaviate, FAISS, or OpenSearch Transformer Models - Deep understanding of BERT, GPT, T5 architectures Advanced Technical Skills ¢ ¢ ¢ ¢ ¢ RAG (Retrieval-Augmented Generation) implementation and optimization Named Entity Recognition (NER) at enterprise scale Cloud platforms (AWS, Azure, GCP) for ML deployment MLOps tools and practices (Docker, Kubernetes, model registries) A/B testing and experimental design methodology Education & Experience ¢ Masters degree in Computer Science, Statistics, Mathematics, or related quantitative field ¢ ¢ Demonstrated experience with production ML systems serving millions of users Strong publication record or open-source contributions (preferred) Why Join Us? ¢ ¢ ¢ ¢ Cutting-edge Technology: Work with the latest in AI/ML, from transformer architectures to vector databases Global Impact: Your work will be used by millions of users across different continents Career Growth: Clear advancement paths with mentorship and leadership opportunities Innovation Freedom: 20% time for personal research projects and experimentation Our Interview Process 1. Recruiter Screen (30 min) - Background, motivation, and culture fit 2. Technical Screen (60 min) - Live coding in Python/SQL, ML fundamentals 3. Technical Deep Dive (90 min) - Advanced ML/AI questions, system design Ready to Shape the Future of AI? If youre passionate about pushing the boundaries of information retrieval and generative AI, we want to hear from you. Join a team where your expertise will drive innovation and create meaningful impact on a global scale. Apply now and help us build the next generation of intelligent search and discovery systems. Send in your resume to Mr.Praveen at Praveen.kunta@techfabric.com We are an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or disability status. Application Requirements: - Resume/CV highlighting relevant ML/AI experience - Cover letter explaining your interest in information retrieval and generative AI - Links to relevant projects, publications, or GitHub repositories (preferred) - Portfolio demonstrating production ML systems or research contributions