1745 Deep Learning Jobs - Page 40

Were looking for Data Scientists to join our Central Analytics team. Ita fast-paced, high-adrenaline job, with plenty to learn. If you enjoy crunching numbers, are never satisfied with the products around you, and have always wanted to make things better than the best, youll love this job. Whatrequired of you You will work closely with product leaders as a data-driven advisor and partner on strategic issues. Will work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization. Will proactively perform a wide range of analyses to identify trends, issues, and opportunities across games help us continue to improve gameplay. Will answer business-related questions through exploratory data analyses and ad-hoc reporting. Requirements B.Tech/M.Tech/PhD in Computer Science/Statistics with demonstrated experience in ML/Statistics Hands on experience in Python/Spark for data crunching, data visualization and machine learning. SQL skills: Experience querying large, complex datasets from a data lake/warehouse. Ability to execute research projects, and generate practical results and recommendations. The candidate should enjoy both working with people and undertaking rigorous statistical analyses. Knowledge of Deep Learning is highly desirable

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 Overview : Hiring an ML Engineer with experience in Cloudera ML to support end-to-end model development, deployment, and monitoring on the CDP platform. Key Responsibilities : Develop and deploy models using CML workspaces Build CI/CD pipelines for ML lifecycle Integrate with governance and monitoring tools Enable secure model serving via REST APIs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Skills Required : Experience in Cloudera ML, Spark MLlib, or scikit-learn ML pipeline automation (MLflow, Airflow, or equivalent) Model governance, lineage, and versioning API exposure for real-time inference

Job_Description":" Qualifications: - Minimum of 5 years of experience as a tester, developer or other relevant role - Ability to create manual and automated tests from user stories, execute tests and record results - Experience with automated testing frameworks, tools and services - Knowledge of/Familiarity with DevOps and CI/CD concepts - Demonstrated application of strong analytical skills in manual testing approaches > Be a problem solver > Find creative solutions for tough problems > Critical thinker - Excellent written & verbal communication skills Preference given to the following experience and skills: - Understanding of AI/ML Concepts: A solid grasp of fundamental AI and machine learning concepts (e.g., supervised learning, unsupervised learning, deep learning) is necessary. - Data Handling and Analysis: Ability to work with large datasets, understand data quality issues, and perform data analysis to evaluate model performance is crucial. - AI Model Testing Techniques: Familiarity with testing methods specific to AI models, such as bias detection, robustness testing, and performance evaluation is needed. - Knowledge of AI Frameworks and Tools: Experience with AI development frameworks like TensorFlow or PyTorch and relevant testing tools is advantageous. ","

About the job Key responsibilities: 1. Manage pre-sale and sale of software and digital services for smart buildings and smart cities 2. Sell Digi Pravesh (Aadhar-based face recognition visitor management system) to government and private sectors 3. Promote and sell digital transformation services for making buildings and cities smart Our Role : 1. We will teach and train candidates to get the skills required 2. We will impart knowledge to candidates Skill(s) required Data Science Sales Management Sales Strategy Earn certifications in these skills Learn Google Analytics Learn Machine Learning Learn Statistical Modeling Learn Data Analytics Learn Data Science Learn Tableau Learn Deep Learning Learn Artificial Intelligence Learn Computer Vision Learn Neural Networks Who can apply Only those candidates can apply who: 1. have minimum 1 years of experience 2. are from Mumbai only Other requirements Computer science graduation preferred. Salary Annual CTC: 3,50,000 /yearAnnual CTC breakup:1. Fixed pay: 2,50,000 /year2. Variable pay: 1,00,000 /year Perks Informal dress code 5 days a week Number of openings 3 To Apply click on below link https: / / secutech.keka.com / careers

Generative AI (GenAI) EngineerJob Summary:We are seeking a talented and highly motivated Generative AI (GenAI) Engineer As a GenAI Engineer, you will be at the forefront of developing and deploying innovative solutions leveraging cutting-edge generative models You will also be responsible for building, training, and fine-tuning GenAI models for various applications, from text generation, image synthesis, code generation, etc This role requires a strong foundation in machine learning, deep learning, and a passion for exploring the potential of generative AI Qualifications:Education: Masters or PhD degree Good to have any certification in Artificial Intelligence, Machine Learning, or a related field Experience: 8+ years of experience in developing and deploying machine learning models 2+ years of experience with generative models Experience with cloud platforms such as AWS, Azure, or GCP Skills: Technical Expertise: Strong understanding of generative AI models, such as GANs, VAEs, diffusion models, and large language models Proficiency in Python and other programming languages commonly used in machine learning Experience with model training and fine-tuning techniques Knowledge of data preprocessing and feature engineering methods Familiarity with model deployment and monitoring tools Soft Skills: Strong analytical and problem-solving skills Excellent communication, presentation, and interpersonal skills Ability to work independently and as part of a team Creativity and a passion for exploring the potential of generative AI

An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. 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. Collaboration and Project ManagementCollaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. 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 EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Technical Skills: 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. 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. 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.

The Amazon Photos team is looking for a world-class Sr. Applied Scientist to join us and use AI to help customers relive their cherished memories. Our team of scientists have developed algorithms and models that power Amazon Photos features for millions of photos and videos daily. As part of the team, we expect that you will develop innovative solutions to hard problems at massive scale, and publish your findings in at peer reviewed conferences and workshops. With the recent advancements in Vision-Language models, Amazon Photos has completely re-thought the product roadmap and is looking for a Sr. Applied Scientist to deliver both the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning, and large scale image and video detection and recognition. Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Visual-Language Model space Design and execute experiments to evaluate the performance of different models, and iterate quickly to improve results Create robust evaluation frameworks for assessing model performance across different domains and use cases Think big about the Visual-Language Model space over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems within Amazon Photos Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports You will mentor and guide junior scientists and contribute to the overall growth and development of the team About the team Amazon Photos is the one of the main digital products offered to Prime subscribers along with Amazon Music and Amazon Video. Amazon Photos provides unlimited photo storage and 5 GB for videos to Prime members and is a top Prime benefit in multiple marketplaces. AI-driven experiences based on image and video understanding are core to customer delight for the business. These experiences are delivered in our mobile, web and desktop apps, in Fire TV, and integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good. 6+ years of building machine learning models for business application experience PhD, or Masters degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Excellent technical publications and material contributions to the CV/ML/AI field as related to image and video processing

The Amazon Photos team is looking for a world-class Applied Scientist to join us and use AI to help customers relive their cherished memories. Our team of scientists have developed algorithms and models that power Amazon Photos features for millions of photos and videos daily. As part of the team, we expect that you will develop innovative solutions to hard problems at massive scale, and publish your findings in at peer reviewed conferences and workshops. With all the recent advancements in Vision-Language models, Amazon Photos has completely re-thought the product roadmap and is looking for Applied Scientists to deliver both the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning, and large scale image and video detection and recognition. Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Visual-Language Model space Design and execute experiments to evaluate the performance of different models, and iterate quickly to improve results Create robust evaluation frameworks for assessing model performance across different domains and use cases Think big about the Visual-Language Model space over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems within Amazon Photos Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports About the team Amazon Photos is the one of the main digital products offered to Prime subscribers along with Amazon Music and Amazon Video. Amazon Photos provides unlimited photo storage and 5 GB for videos to Prime members and is a top Prime benefit in multiple marketplaces. AI-driven experiences based on image and video understanding are core to customer delight for the business. These experiences are delivered in our mobile, web and desktop apps, in Fire TV, and integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good. 3+ years of building models for business application experience PhD, or Masters degree and 4+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PhD in computer science, machine learning, engineering, or related fields Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms Material contributions to the CV/ML/AI field as related to image and video processing

DS Key Responsibilities Combine expertise in mathematics statistics computer science and domain knowledge to create AIML models to solve various business challenges Collaborate closely with the AI Technical Manager and GCC Petro technical professionals and data engineers to integrate models into the business framework Identify and frame opportunities to apply advanced analytics modeling and related technologies to data to help businesses gain insight and improve decision making workflow and automation Understand and communicate the value of proposed opportunity with team members and other stakeholders Identify needed data and appropriate technology to solve identified business challenges Clean data and develop and test models Establish the life cycle management process for models Provide technical mentoring in modeling and analytics technologies the specifics of the modeling process and general consulting skills Drive innovation in AIML to enhance capabilities in data driven decision making Aligns with team on shared goals and outcomes recognizes others contributions and work collaboratively seek diverse perspectives Takes actions to develop self and others beyond existing skillset Encourages innovative ideas adapts to change and changing technologies Understand and communicate data insights and model behaviors to stakeholders with varying levels of technical expertise Required Qualification Minimum 5 years of experience in designing and developing AIML models and or various optimization algorithms 5 to 9 years of experience Solid foundation in mathematics probability and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies eg supervised and unsupervised learning statistics data science model development Proficiency in Python and working knowledge of cloud AIML services Azure Machine Learning and Databricks preferred Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain eg upstream midstream or downstream and associated business workflows Proven ability to frame data science opportunities leverage standard foundational tools and Azure services to perform exploratory data analysis for purposes of data cleaning and discovery visualize data and identify actions to reach needed results Ability to quickly assess current state and apply technical concepts across cross functional business workflows Experience with driving successful execution deliverables and accountabilities to meet quality and schedule goals Ability to translate complex data into actionable insights that drive business val Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels across functional and geographic boundaries to achieve desired outcomes Demonstrated ability to adjust behavior based on feedback and provide feedback to other Team oriented mindset with effective communication skills and the ability to work collaboratively Strong problem solving skills and attention to detail Excellent communication and collaboration skills

ModalityFull time, work from office Job Responsibilities: To develop LLM - driven products from the groundup, we are looking for enthusiastic members who would like to design cutting edge systems and implement AI solutions that scale globally Strong communication skills Problem solving abilities Strong programming background Understanding of Transformer architecture Required Qualifications: 3+ years of hands on experience in AI/ML with proven projects using Transformers (eg., BERT, GPT, T5, VITs, Small LLMs) Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow) Ability to independently analyze open sources and code repositories Experience in fine-tuning Transformer models for NLP (e.g., text classification, summarization) or Computer Vision (e.g., image generation, recognition) Knowledge of GPU acceleration, optimization techniques, and model quantization Experience in deploying models using Flask, FastAPI, or cloud-based inference services Familiarity with data pre-processing, feature engineering, and training workflows

Train learners in tools such as Python, R, SQL, Power BI/Tableau, Excel, and relevant ML libraries (e.g., scikit-learn, TensorFlow, Numpy, Pandas). Mentor learners, solve doubts, and track progress through assessments Full Time / Part Time available

Key Responsibilities: Design and implement machine learning models to solve real-world business problems. Work closely with stakeholders to gather requirements, define KPIs, and deliver data-driven recommendations. Analyze large datasets using SQL , Python (Pandas, NumPy, Scikit-learn, etc.) , and derive insights. Create data visualizations and dashboards using tools like Power BI, Tableau , or Matplotlib/Seaborn . Perform A/B testing, statistical modeling, and predictive analytics. Present findings clearly to technical and non-technical stakeholders through visual storytelling. Required Skills: Strong programming experience in Python for data manipulation and modeling. Expertise in SQL for querying relational databases. Proficiency in machine learning techniques (classification, regression, clustering, etc.). Experience with data visualization tools like Tableau, Power BI, or Plotly. Solid understanding of statistics and data interpretation. Excellent communication and stakeholder management skills.

Ripple Healthcare is looking for User Research Intern to join our dynamic team and embark on a rewarding career journey As a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects Conduct research studies and analyze data using a variety of research methods and tools Analyze and interpret data using statistical software and other analytical tools Prepare reports and presentations summarizing research findings and conclusions Conduct in depth research to gather insights into user behavior and preferences. Analyze data to inform product development and improve user experiences.

About the Role: Were looking for an innovative and execution-focused Machine Learning Engineer with deep expertise in AI/ML model development, deployment, and scaling. This role goes beyond research — we’re looking for someone eager to take models from notebooks to real-world systems and own the full ML lifecycle. Key Responsibilities: Design, develop, and deploy machine learning models for large-scale applications. Apply GenAI, NLP, and deep learning techniques to real business problems. Own the entire model pipeline — from ideation and training to testing and deployment. Work closely with cross-functional teams to drive AI-powered product features. Ensure scalability, reliability, and robustness in model performance. Core Requirements: Strong foundation in AI/ML research and model deployment. Hands-on experience with GenAI, NLP, deep learning , and large-scale ML systems. Proficiency in Python (Pandas, NumPy, Matplotlib, Seaborn, etc.). Experience with ML frameworks: TensorFlow / PyTorch . Working knowledge of ML algorithms – Regression, Classification, Clustering, Random Forest, Boosting, etc. Solid grasp of Probability, Statistics, and Mathematics . Strong command of SQL for data extraction. Understanding of production ML architecture and deployment pipelines . Bonus Skills: Experience deploying models to production environments . Familiarity with Linux commands and scripting. Exposure to cloud platforms (e.g., GCP, AWS, Azure). Understanding of A/B Testing frameworks and experimentation.

Role & responsibilities Design ML design and Ops stack considering the various trade-offs. Statistical Analysis and fundamentals MLOPS frameworks design and implementation Model Evaluation best practices -Train and retrain systems when necessary. Extend existing ML libraries and frameworks -Keep abreast of developments in the field. Act as a SME and tech lead / veteran for any data engineering question and manage data scientists and influence DS development across the company. Promote services, contribute to the identification of innovative initiatives within the Group, share information on new technologies in dedicated internal communities. Ensure compliance with policies related to Data Management and Data Protection Preferred candidate profile Strong experience (2+ years) with Building statistical models, applying machine learning techniques Experience (2+ years) on Big Data technologies such as Hadoop, Spark, Airflow/Databricks Proven experience (2+ years) in solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Proven experience (2+ years) on innovation implementation from exploration to production: these may include containerization (i.e. Docker/Kubernetes) , Big data (Hadoop, Spark) and MLOps platforms. Deep understanding of E2E software development in a team, and a track record of shipping software on time Ensure high-quality data and understand how data, which is generated out experimental design can produce actionable, trustworthy conclusions. Proficiency with SQL and NoSQL databases, data warehousing concepts, and cloud-based analytics database (e.g. Snowflake , Databricks or Redshift) administration

We are seeking a highly qualified Assistant / Associate Professor in Computer Science & Engineering (CSE) to join our esteemed faculty. The candidate will be responsible for teaching undergraduate and postgraduate courses, conducting research, mentoring students, and contributing to academic and institutional development. Key Responsibilities: Deliver lectures, labs, and seminars in core and specialized areas of CSE . Guide research scholars and students in projects, dissertations, and publications. Develop and update curriculum to align with industry trends and emerging technologies. Publish research in reputed journals and participate in academic conferences. Secure research grants and collaborate on interdisciplinary projects. Engage in student mentoring, counseling, and extracurricular activities. Participate in faculty development programs and institutional initiatives. Qualifications & Experience: Ph.D. in Computer Science & Engineering or a related field from a recognized university. Minimum 8-10 years of teaching/research/industry experience (as per AICTE/UGC norms). Strong research background with publications in SCI/Scopus indexed journals. Expertise in areas like AI, Machine Learning, Cybersecurity, IoT, Data Science, Cloud Computing, etc. Inviting applications at umang.hr@cgc.ac.in or can call at 8360367050

Dear Candidates Are you looking for opportunities ? If yes, read below to know more about an opportunity in Redserv (Redington Group), one of the leading Supply Chain Management organizations! Role hiring for: Artificial Intelligence Work Location : Guindy Experience : 2-4 Years Hands on experience in Python and AI/ML is must Mode : Work from office Notice : Immediate - 30 days Roles & Responsibilities: Develop and implement machine learning algorithms and models using Python. Design and develop Python-based applications. Build, maintain, and optimize scalable and efficient AI/ML systems that meet performance and accuracy standards. Collaborate with data scientists and domain experts to understand business needs and deliver AI/ML solutions addressing real-world challenges. Perform data preprocessing, feature engineering, and data transformation to prepare datasets for model training. Utilize deep learning frameworks like TensorFlow for model development and deployment. Stay updated with the latest AI/ML advancements and incorporate them into company projects. Fine-tune and optimize AI/ML models for enhanced performance and efficiency. Work closely with cross-functional teams to integrate AI/ML solutions into existing applications and systems. Conduct code reviews, ensure high code quality, and adhere to best coding practices. Debug and resolve issues in AI/ML systems promptly. Use DevOps practices to deploy and monitor AI/ML solutions in production environments. Location of the Interview No.5, RR Towers, 6th Floor, Plot No 33A, Thiru Vi Ka Industrial Estate, Guindy Chennai, Tamil Nadu 600032 (Next to Olympia Platina building) Date & Time: 10th June 2025 | 11.00 AM - 1 PM Documents to Carry for the Interview - Current updated Resume - Please carry your last 3 months pay slips Regards Team HR

Job Title: Lead Data Scientist Location: Bangalore Urban, India (Hybrid) Key Responsibilities: Lead AI/ML initiatives across multiple projects. Collaborate with other data scientists and cross-functional teams. Translate business and technical requirements into actionable data science solutions. Propose and implement optimized machine learning models and data-driven strategies. Ensure quality and scalability of AI/ML solutions. Required Qualifications: Strong background in machine learning, deep learning, and data science. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with large-scale data processing and model deployment. Excellent problem-solving and communication skills. Prior experience in leading data science teams or projects. Preferred Skills: Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with MLOps practices and tools. Knowledge of computer vision or NLP is a plus.

Required Skills Data Science Machine Learning Deep Learning Python NLP statistical exp. Experience in Data Modelling R Python SQL Data Science Machine Learning Deep Learning NLP Statistics Have ability to solve Business problems using Data Should possess extensive knowledge of and experience in applying data mining and machine learning techniques on large amount of datasets High level of proficiency in statistical tools like R Python Candidate will be expected to communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights. Have the ability to discover new opportunities where advanced analytical techniques can be leveraged for solving business problems

Data Science Machine Learning Deep Learning Python NLP statistical exp Roles and responsibilities Experience in Data Modelling RPython SQL Data Science Machine Learning Deep Learning NLP Statistics Have ability to solve Business problems using Data Should possess extensiveknowledge of and experience in applying data mining and machine learning techniques on large amount of datasets High level of proficiency in statisticaltools like R Python Candidate will be expected to communicate analyticalresults in a way that is meaningful for business stakeholders and provides actionable insights Have the ability to discover new opportunities whereadvanced analytical techniques can be leveraged for solving business problems

Overall 15+ years of experience with minimum 5+ years in Pre-sales, technology evaluation, technical design, and architecture. Strong experience in technical capability presentation, pre-sales, proposal creation. Demonstrate a comprehensive understanding of various technologies, including legacy systems and cutting-edge solutions. Experience in consulting role, presenting technical information, strategic planning, customer interaction. Proven experience as Software and Solution Architect with Architectural patterns for High Availability, Performance, Scale Out architecture, Disaster Recovery, Security Architecture, Knowledge of cloud-based architectures deployment. Deep understanding and hands on experience in Open Source and/or Microsoft technologies, up to date on latest development in technical area Good working experience with API driven architecture, microservices, orchestration, DevOps (CI/CD), Messaging, and RDBMS/NoSQL/SearchEngine Deep understanding of Cloud native services - AWS/GCP/Azure implementation Thought leadership and special focus on scalable, reusable, robust, testable, efficient, and easily maintainable systems/solutions. Knowledge of Data Platform Analytics Knowledge of Zero Code/Low Code Automation Platforms Understanding of AI/ML, Deep Learning, NLP, Neural Network, Computer Vision.

Design and develop Generative AI models for specific business applications. Fine-tune and optimize large language models for performance and accuracy. Build custom pipelines to integrate generative AI into business workflows. Research and implement state-of-the-art techniques in Generative AI. Ensure ethical AI practices and compliance with relevant guidelines. Key Skills: Strong understanding of NLP and Generative AI models like GPT, BERT, or Stable Diffusion. Proficiency in Python and experience with AI frameworks like Hugging Face or OpenAI APIs. Familiarity with prompt engineering and fine-tuning techniques. Excellent collaboration and documentation skills.

Build, deploy, and maintain machine learning models in production. Automate model training, evaluation, and monitoring pipelines. Collaborate with data engineers to ensure the availability of clean, high-quality data. Optimize model performance and computational efficiency. Document ML workflows and processes for scalability and reproducibility. Key Skills: Proficiency in Python, Scala, or Java. Experience with ML tools like TensorFlow, PyTorch, and MLflow. Familiarity with MLOps practices and tools like Docker, Kubernetes, and CI/CD pipelines. Strong problem-solving and analytical skills Machine Learning,Python,Scala,Java

Happiest Minds Technologies Pvt.Ltd is looking for Databricks Professional to join our dynamic team and embark on a rewarding career journey Assessing and analyzing client requirements related to data processing, analytics, and machine learning. Designing and developing data pipelines, workflows, and applications using the Data Bricks platform. Integrating and connecting Data Bricks with other data sources, databases, and tools. Developing and implementing machine learning models using libraries such as Scikit-learn, Tensorflow, and PyTorch. Databricks, Spark, Python, Core ML, Pipeline creation,Airflow, Snowflake