4254 Pytorch Jobs - Page 49

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

Job Title: AI Research Engineer – Private LLM & Cognitive Systems Location: Delhi Type: Full-Time Experience Level: Senior / Expert Start Date: Immediate About Brainwave Science: Brainwave Science is a leader in cognitive technologies, specializing in solutions for the security and intelligence sectors. Our flagship product, iCognative™ , leverages real-time cognitive response analysis using Artificial Intelligence and Machine Learning techniques to redefine the future of investigations, defense, counterterrorism, and counterintelligence operations. Beyond security, Brainwave Science is at the forefront of healthcare innovation, applying our cutting-edge technology to identifying diseases, various neurological conditions, and mental health challenges in advance and identification of stress and anxiety in real time and providing non-medical, science-backed interventions. Together, we are shaping a future where advanced technology strengthens security, promotes wellness, and creates a healthier, safer world for individuals and communities worldwide. About the Role We are seeking an experienced and forward-thinking AI/ML Engineer – LLM & Deep Learning Expert to design, develop, and deploy Large Language Models (LLMs) and intelligent AI systems. You will work on cutting-edge projects at the intersection of natural language processing , edge AI , and biosignal intelligence , helping drive innovation across defense, security, and healthcare use cases. This role is ideal for someone who thrives in experimental environments, understands private and local LLM deployments, and is passionate about solving real-world challenges using advanced AI. Responsibilities Design, train, fine-tune, and deploy Large Language Models using frameworks like PyTorch , TensorFlow , or Hugging Face Transformers Integrate LLMs for local/edge deployment using tools like Ollama , LangChain , LM Studio , or llama.cpp Build NLP applications for intelligent automation , investigative analytics , and biometric interpretation Optimize models for low-latency , token efficiency , and on-device performance Work on prompt engineering , embedding tuning , and vector search integration (FAISS, Qdrant, Weaviate) Collaborate with technical and research teams to deliver scalable AI-driven features Stay current with developments in open-source and closed-source LLM ecosystems (e.g., Meta, OpenAI, Mistral) Must-Have Requirements B.Tech/M.Tech in Computer Science (CSE) , Electronics & Communication (ECE) , or Electrical & Electronics (EEE) from IIT, NIT, or BITS Minimum 3 - 4 years of hands-on experience in AI/ML, deep learning , and LLM development Deep experience with Transformer models (e.g., GPT, LLaMA, Mistral, Falcon, Claude) Hands-on with tools like LangChain , Hugging Face , Ollama , Docker , or Kubernetes Proficiency in Python , and strong knowledge of Linux environments Strong understanding of NLP , attention mechanisms , and model fine-tuning Preferred Qualifications Experience with biosignals , especially EEG or time-series data Experience deploying custom-trained LLMs on proprietary datasets Familiarity with RAG pipelines and multi-modal models (e.g., CLIP, LLaVA) Knowledge of cloud platforms (AWS, GCP, Azure) for scalable model training and serving Published research, patents, or open-source contributions in AI/ML communities Excellent communication, analytical, and problem-solving skills What We Offer Competitive compensation based on experience Flexible working hours and remote-friendly culture Access to high-performance compute infrastructure Opportunities to work on groundbreaking AI projects in healthcare, security, and defense Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

Job Title Engineering Lead at GIST Impact, based out of Bengaluru - On-site Role Company Details GIST Impact, based in Nyon, Switzerland, is a leading environmental services company providing impact data and analytics. With over 100 scientific experts, it supports companies and investors globally in measuring and quantifying corporate impacts across markets. Job Roles & Responsibilities - Lead AI/ML engineering projects to enhance GIST Impact's data analytics platforms. - Develop and optimize machine learning models using Python, PyTorch, Scikit-Learn, and TensorFlow. - Collaborate with a multidisciplinary team of scientists, engineers, and data scientists. - Drive innovation in impact data computation and ESG analytics. - Ensure scalability and efficiency in handling large, geographically precise datasets. - Mentor junior engineers and promote best practices in AI/ML development. - Interface with clients and partners to align product features with market needs. - Stay updated on industry trends in AI/ML and environmental services for continuous product improvement. Cultural Expectations - Collaborate effectively with diverse teams of scientists, data scientists, and economists - Communicate complex ideas clearly to technical and non-technical stakeholders - Foster a culture of continuous learning and innovation - Champion sustainable practices and impact-driven solutions - Align projects with GIST Impact’s mission for precise impact measurement - Promote teamwork in a fast-paced, dynamic environment Hiring Process Profile shortlisting Automated coding Tech interview Tech interview Tech interview Tech interview Show more Show less

Job Description: We are looking for a skilled Computer Vision Engineer with over 2 years of hands-on experience in developing deep learning models, with practical knowledge in designing, training, and deploying end-to-end computer vision solutions for real-world applications. As a key member of our AI team, you will be responsible for building and optimizing image and video analysis systems, while collaborating with cross-functional teams to integrate models into production-ready environments and contribute to the development of scalable, AI-driven applications. Roles & Responsibilities: Design and develop computer vision models for image and video analysis tasks. Proficiency in Python and libraries such as OpenCV, NumPy, and scikit-learn. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. Practical knowledge of open-source models (e.g., Hugging Face Transformers), with experience in model training, testing, and fine-tuning for deployment. Exposure to Generative AI models such as GANs, VAEs, or diffusion models. Collaborate with the team to integrate and deploy models into production-ready applications. Requirements:  Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 2 years of hands-on experience in computer vision and deep learning. Strong understanding of ML/DL concepts and experience implementing real-world CV models. Familiarity with Hugging Face Transformers and open-source model fine-tuning workflows. Show more Show less

Coditas Solutions is seeking a highly skilled and motivated Data Scientist to join our dynamic team. As a Data Scientist, you will play a key role in designing, implementing, and optimizing machine learning models and algorithms to solve complex business challenges. If you have a passion for leveraging AI and ML technologies to drive innovation, this is an exciting opportunity to contribute to groundbreaking projects. Roles and Responsibilities Design, implement, and optimize machine learning algorithms using R and Python. Work on developing predictive models and decision-making systems. Conduct exploratory data analysis to understand data patterns and insights. Collaborate with data engineers to ensure the availability and quality of data for model training. Deploy machine learning models into production environments. Collaborate with cross-functional teams to integrate models into existing systems. Continuously optimize and improve the performance of machine learning models. Stay updated on the latest advancements in ML algorithms and technologies. Work closely with software engineers to ensure seamless integration of AI/ML solutions. Collaborate with clients to understand their business requirements and customize solutions accordingly. Technical Skills Excellent programming skills with the ability to implement complex algorithms in Python or R. Experience with cloud-based platforms (AWS, Azure, GCP) for deploying machine learning models. Strong experience of minimum 5 years in developing and implementing machine learning algorithms. Experience with model deployment and integration into production systems. Hands-on experience with use of standard classical machine learning libraries such as Scikit learn, NLTK, OpenCV as well as deep learning libraries Tensorflow, PyTorch, Keras. Understanding of machine learning algorithms, techniques, and concepts (linear regression, logistic regression, decision trees, random forests, neural networks, etc.). Experience with data preprocessing, feature engineering, and model evaluation techniques of structured and unstructured data. Proven experience with identifying, creating and selecting relevant features or variables to enhance model performance. Ability to collaborate effectively with cross-functional teams. Previous experience working on real-world AI/ML projects. Should be focused on linear algebra, machine learning, and statistics & probability are preferred. Ability to have a basic knowledge of the LLMs and optimal use of the GenAI models. Strong problem-solving and critical-thinking skills. Excellent communication and collaboration skills. Join our team and be part of a fast-paced and innovative work environment where your expertise will make a significant impact on our organization's growth and success. For more details please visit our social media handles: Show more Show less

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance. As a research scientist at AryaXAI, you will be uniquely positioned in our team to work on very large-scale industry problems and push forward the frontiers of AI technologies. You will become a part of the unique atmosphere where startup culture meets research innovation, with key outcomes of speed and reliability. Responsibilities You'll work on advanced problems related to AI explainability, AI safety, and AI alignment. You'll have flexibility in picking up the specialization areas within ML/DL and problem types that address the above challenges. Create new techniques around ML Observability & Alignment. Collaborate with MLEs and SDE to roll out the features and manage their quality until they are fully stable. Create and maintain technical and product documentation. Publish papers in open forums like arxiv and present in industry forums like ICLR NeurIPS etc. Qualifications Has a solid academic background in concepts of machine learning or deep learning or reinforcement learning. Master or Ph.D in key engineering topics like computer science or Mathematics is required Should have published peer-reviewed papers or contributed to opensource tools Hands-on experience in working with deep learning frameworks like Tensorflow, Pytorch etc Enjoys working on various DL problems that involve using different types of training data sets - textual, tabular, categorical, images etc Comfortable deploying code in cloud environments/on-premise environments. Good fundamentals in MLOps and productionising ML models. Prior experience on working on ML explainability methods - LRP, SHAPE, LIME, IG, CEM etc. 2+ years of hands-on experience in Deep Learning or Machine Learning. Hands-on experience in implementing techniques like Transformer models, GANs, Deep Learning, etc. Show more Show less

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance. As an AI Engineer at AryaXAI, you will be uniquely positioned in our team to work on very large-scale industry problems and push forward the frontiers of AI technologies. You'll be working directly with enterprise use cases that matters. You will become a part of the unique atmosphere where startup culture meets research innovation, with key outcomes of speed and reliability. Responsibilities Evaluate and fine-tune appropriate AI/ML models on AryaXAI.com, based on specific business use cases, considering accuracy, computational requirements, and scalability. Assess various model architectures to determine the most suitable solutions for different business problems Implement and deploy AI models in production environments using AryaXAI.com, ensuring seamless integration with existing systems You'll work on advanced AI architectures using state-of-the-art AI explainability, AI safety, and AI alignment techniques You'll have flexibility in picking up the specialization areas within ML/DL and problem types that address the above challenges. Collaborate with MLEs and SDE to roll out the features and manage their quality until they are fully stable. Create and maintain technical and product documentation. Qualifications Has a solid academic background in concepts of machine learning, deep learning, or reinforcement learning. Published peer-reviewed papers or contributions to open-source tools are a plus. Hands-on experience in working with deep learning frameworks like Tensorflow, Pytorch etc Enjoys working on various DL problems that involve using different types of training data sets - textual, tabular, categorical, images etc Comfortable deploying code in cloud environments/on-premise environments. 2+ years of hands-on experience in Deep Learning or Machine Learning Hands-on experience in implementing techniques like Transformer models, GANs, Deep Learning, etc. Show more Show less

We're hiring an Engineering Manager to lead and scale our AI-focused product engineering team. This role is 50% hands-on engineering and 50% people leadership (not exactly in that ratio but something to give an idea about) — perfect for someone who wants to both build and lead. You'll drive the development of AI-powered user experiences and intelligent workflows, collaborating across Product, Design, and Data Science. What You'll Do As an Engineer (:50%) Develop state-of-the-art AI agents and systems aimed at revolutionizing how security teams detect, triage, and respond to incidents, using models such as LLama, Claude, and GPT-4. Create prototypes and Minimum Viable Products (MVPs) to showcase new AI capabilities in the context of security, focusing on the integration of diverse security tools and data. Design and implement advanced internal agent-based systems for security operations, including anomaly detection, threat intelligence correlation, and automated incident prioritization. Prototype and innovate AI solutions that streamline security processes, enhance detection accuracy, and improve response times. Work closely with product and engineering teams to integrate AI technologies into our security solutions, ensuring they meet high-performance standards and contribute to user-centric outcomes. As a Manager (:50%) Lead a remote team of full-stack and AI engineers. Own and deliver the product roadmap with Product and Design. Guide system architecture, sprint planning, and code reviews Hire, coach, and grow high-performing engineers. Foster a fast-moving, AI-forward engineering culture. Requirements Hands-on experience in developing AI-driven solutions, proficient in programming with Python and its ecosystem, including AI tools. Strong background in building applications based on Large Language Models (LLMs) and are familiar with leveraging models like LLama, Claude, and GPT-4 for innovative applications. Expertise including working with leading AI technologies and frameworks, such as TensorFlow and PyTorch, with a deep understanding of deep learning principles. Your passion for AI is evident in your continuous pursuit of knowledge and innovation within the field, aiming to apply AI technologies to solve complex problems. Who you are: You are technically skilled, self-motivated, and proactive, with a strong interest in applying your AI expertise to develop solutions that address significant challenges in the security domain. 10+ years in software engineering, 2+ years in engineering leadership. Strong full-stack experience (JavaScript/TypeScript, React, Node.js, Python). Hands-on experience with AI/ML systems in production. Strong foundation in architecture, scalability, and system design. Great communicator and mentor in remote-first teams Good to have Built AI-powered SaaS or low-code/no-code platforms. Worked with vector DBs, LLM orchestration tools (LangChain, AutoGen). We are heavily biased towards Startup or high-growth experience Blogged or contributed to open-source projects Benefits Generous salary and meaningful equity Medical, Dental and Vision coverage Company provided laptop and allowance for furniture The chance to shape a category-defining AI product A culture that values learning, speed, and ownership Opportunity to work with some of world's most talented, driven, and friendly teammates Show more Show less

Company Description Ditansource aims to deliver a comprehensive solution through an innovative freelancing platform, ensuring exceptional quality at an optimal price. Our mission is to build a user-friendly platform that fosters global connections and empowers young talent. We enable professionals to showcase and refine their skills in their chosen fields while offering clients access to a diverse pool of talented individuals from around the world. Role Description Ditansource is offering a remote, paid internship or freelance opportunity for students, recent graduates, or self-taught professionals interested in Data Science. Selected candidates will work on real-world data-driven projects, developing models, generating insights, and improving decision-making across platforms such as www.ditansource.com and associated client applications. This is a hands-on opportunity to apply your analytical skills and grow in a collaborative, fast-paced environment. Qualifications • Proficiency in Python or R for data analysis • Familiarity with data science libraries (e.g., Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow/PyTorch optional) • Ability to clean, manipulate, and analyze structured and unstructured data • Understanding of basic statistical concepts and machine learning algorithms • Experience with SQL and working with databases • Ability to communicate insights through visualizations (using tools like Power BI, Tableau, or Python libraries) • Introductory knowledge of data pipelines, APIs, or web scraping is a plus • Portfolio of previous data science or analytics work (personal, academic, or professional) • Strong problem-solving, logical thinking, and communication skills • Comfortable using collaboration tools like Jupyter, GitHub, Notion, Slack, or Trello Key Responsibilities • Collect, clean, and analyze datasets from internal or external sources • Build predictive models and machine learning algorithms to solve business problems • Visualize key trends and metrics to support data-driven decision-making • Conduct exploratory data analysis (EDA) and summarize findings • Work closely with developers and product teams to translate insights into features • Prepare detailed reports and dashboards for internal or client use • Continuously test, validate, and improve models based on feedback and new data • Maintain data documentation and collaborate in a version-controlled environment Application Process • Submit Your Application (via LinkedIn Easy Apply) • Paid Technical Challenge (complete a short data analysis or modeling task) • Interview Rounds (Portfolio Review + Technical Interview + HR Interview) Terms • Paid remote internship or freelance work • Work on the live platform: www.ditansource.com • Formal onboarding via Ditanbiz India Private Limited (our affiliated company) Show more Show less

Job Description In this role you'll be responsible for building machine learning based systems and conduct data analysis that improves the quality of our large geospatial data. You’ll be developing NLP models to extract information, using outlier detection to identifying anomalies and applying data science methods to quantify the quality of our data. You will take part in the development, integration, productionisation and deployment of the models at scale, which would require a good combination of data science and software development. Responsibilities - Development of machine learning models - Building and maintaining software development solutions - Provide insights by applying data science methods - Take ownership of delivering features and improvements on time Must-have Qualifications - 5+ years experience - Senior data scientist preferable with knowledge of NLP - Strong programming skills and extensive experience with Python - Professional experience working with LLMs, transformers and open-source models from HuggingFace - Professional experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks - Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc). - Experience using deep learning libraries and platforms, such as PyTorch - Experience with frameworks such as Sklearn, Numpy, Pandas, Polars - Excellent analytical and problem solving skills - Excellent oral and written communication skills Extra Merit Qualifications - Knowledge in at least one of the following: NLP, information retrieval, data mining - Ability to do statistical modeling and building predictive models - Programming skills and experience with Scala and/or Java Show more Show less

Role Overview As a Principal Software Engineer, you will be a key contributor to the design, development, and deployment of advanced AI and generative AI-based products. You will drive technical innovation, lead complex projects, and collaborate closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. This role requires a strong background in software development, AI/ML techniques, and DevOps practices, along with the ability to mentor junior engineers and contribute to strategic technical decisions. Responsibilities Advanced Software Development: Design, develop, and optimize high-quality code for complex software applications and systems, maintaining high standards of performance, scalability, and maintainability. Drive best practices in code quality, documentation, and test coverage. GenAI Product Development: Lead end-to-end development of generative AI solutions, from data collection and model training to deployment and optimization. Experiment with cutting-edge generative AI techniques to enhance product capabilities and performance. Technical Leadership: Take ownership of architecture and technical decisions for AI/ML projects. Mentor junior engineers, review code for adherence to best practices, and ensure the team follows a high standard of technical excellence. Project Ownership: Lead execution and delivery of features, managing project scope, timelines, and priorities in collaboration with product managers. Proactively identify and mitigate risks to ensure successful, on-time project completion. Architectural Design: Contribute to the architectural design and planning of new features, ensuring solutions are scalable, reliable, and maintainable. Engage in technical reviews with peers and stakeholders, promoting a product suite mindset. Code Review & Best Practices: Conduct rigorous code reviews to ensure adherence to industry best practices in coding standards, maintainability, and performance optimization. Provide feedback that supports team growth and technical improvement. Testing & Quality Assurance: Design and implement robust test suites to ensure code quality and system reliability. Advocate for test automation and the use of CI/CD pipelines to streamline testing processes and maintain service health. Service Health & Reliability: Monitor and maintain the health of deployed services, utilizing telemetry and performance indicators to proactively address potential issues. Perform root cause analysis for incidents and drive preventive measures for improved system reliability. DevOps Ownership: Take end-to-end responsibility for features and services, working in a DevOps model to deploy and manage software in production. Ensure efficient incident response and maintain a high level of service availability. Documentation & Knowledge Sharing: Create and maintain thorough documentation for code, processes, and technical decisions. Contribute to knowledge sharing within the team, enabling continuous learning and improvement. Minimum Qualifications Educational Background: Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master’s degree preferred. Experience: 6+ years of professional software development experience, including significant experience with AI/ML or GenAI applications. Demonstrated expertise in building scalable, production-grade software solutions. Technical Expertise: Advanced proficiency in Python, FastAPI, PyTest, Celery, and other Python frameworks. Deep knowledge of software design patterns, object-oriented programming,and concurrency. Cloud & DevOps Proficiency: Extensive experience with cloud technologies (e.g., GCP,AWS, Azure), containerization (e.g., Docker, Kubernetes), and CI/CD practices. Strong understanding of version control systems (e.g., GitHub) and work tracking tools (e.g., JIRA). AI/GenAI Knowledge: Familiarity with GenAI frameworks (e.g., LangChain, LangGraph), MLOps, and AI lifecycle management. Experience with model deployment and monitoring in cloud environments. Preferred Qualifications AI & Machine Learning: Hands-on experience with advanced ML algorithms, including generative models, NLP, and transformers. Knowledge of industry-standard AI frameworks (e.g.,TensorFlow, PyTorch) and experience with data preprocessing and model evaluation. Data & Analytics Tools: Proficiency with relational and NoSQL databases (e.g., MongoDB,MSSQL, PostgreSQL) and analytics platforms (e.g., BigQuery, Snowflake, Tableau). Experience with messaging systems (e.g., Kafka) is a plus. Testing & Quality: Experience with test automation tools (e.g., PyTest, xUnit) and CI/CD tooling such as Terraform and GitHub Actions. Strong emphasis on building resilient and testable software. Advanced Cloud Knowledge: Proficiency with GCP technologies such as VertexAI, BigQuery, GKE, GCS, and DataFlow, with a focus on deploying AI models at scale Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com Show more Show less

Job Title: Sr. Data Engineer Location: Office-Based (Ahmedabad, India) About Hitech Hitech is a leading provider of Data, Engineering Services, and Business Process Solutions. With robust delivery centers in India and global sales offices in the USA, UK, and the Netherlands, we enable digital transformation for clients across industries including Manufacturing, Real Estate, and e-Commerce. Our Data Solutions practice integrates automation, digitalization, and outsourcing to deliver measurable business outcomes. We are expanding our engineering team and looking for an experienced Sr. Data Engineer to design scalable data pipelines, support ML model deployment, and enable insight-driven decisions. Position Summary We are seeking a Data Engineer / Lead Data Engineer with deep experience in data architecture, ETL pipelines, and advanced analytics support. This role is crucial for designing robust pipelines to process structured and unstructured data, integrate ML models, and ensure data reliability. The ideal candidate will be proficient in Python, R, SQL, and cloud-based tools, and possess hands-on experience in creating end-to-end data engineering solutions that support data science and analytics teams. Key Responsibilities Design and optimize data pipelines to ingest, transform, and load data from diverse sources. Build programmatic ETL pipelines using SQL and related platforms. Understand complex data structures and perform data transformation effectively. Develop and support ML models such as Random Forest, SVM, Clustering, Regression, etc. Create and manage scalable, secure data warehouses and data lakes. Collaborate with data scientists to structure data for analysis and modeling. Define solution architecture for layered data stacks ensuring high data quality. Develop design artifacts including data flow diagrams, models, and functional documents. Work with technologies such as Python, R, SQL, MS Office, and SageMaker. Conduct data profiling, sampling, and testing to ensure reliability. Collaborate with business stakeholders to identify and address data use cases. Qualifications & Experience 4 to 6 years of experience in data engineering, ETL development, or database administration. Bachelor’s degree in Mathematics, Computer Science, or Engineering (B.Tech/B.E.). Postgraduate qualification in Data Science or related discipline preferred. Strong proficiency in Python, SQL, Advanced MS Office tools, and R. Familiarity with ML concepts and integrating models into pipelines. Experience with NoSQL systems like MongoDB, Cassandra, or HBase. Knowledge of Snowflake, Databricks, and other cloud-based data tools. ETL tool experience and understanding of data integration best practices. Data modeling skills for relational and NoSQL databases. Knowledge of Hadoop, Spark, and scalable data processing frameworks. Experience with SciKit, TensorFlow, Pytorch, GPT, PySpark, etc. Ability to build web scrapers and collect data from APIs. Experience with Airflow or similar tools for pipeline automation. Strong SQL performance tuning skills in large-scale environments. What We Offer Competitive compensation package based on skills and experience. Opportunity to work with international clients and contribute to high-impact data projects. Continuous learning and professional growth within a tech-forward organization. Collaborative and inclusive work environment. If you're passionate about building data-driven infrastructure to fuel analytics and AI applications, we look forward to connecting with you. Anand Soni Hitech Digital Solutions Show more Show less

Job Title: Sr. Data Scientist Location: Office-Based (Ahmedabad, India) About Hitech Hitech is a leading provider of Data, Engineering Services, and Business Process Solutions. With robust delivery centers in India and global sales offices in the USA, UK, and the Netherlands, we enable digital transformation for clients across industries including Manufacturing, Real Estate, and e-Commerce. Our Data Solutions practice integrates automation, digitalization, and outsourcing to deliver measurable business outcomes. As we continue expanding, we’re looking for a skilled Lead Data Scientist to guide innovation, lead teams, and solve complex problems using advanced analytics and machine learning. Position Summary As a Lead Data Scientist, you will lead a team of data scientists, machine learning engineers, and big data specialists to design, develop, and deploy data-driven solutions. You will be responsible for identifying business opportunities, translating them into data strategies, and driving measurable outcomes. This role demands strong leadership, deep technical expertise, and a passion for continuous innovation. Key Responsibilities Manage a team of data scientists, machine learning engineers, and big data specialists. Lead data mining, data collection, and cleansing procedures. Ensure high standards of data quality and integrity across all projects. Interpret complex data sets to identify patterns, trends, and actionable insights. Conceive, plan, and prioritize data science initiatives aligned with business goals. Develop and deploy scalable analytics systems and predictive models. Test and validate data-driven products for performance and reliability. Create compelling visualizations and comprehensive reports for stakeholders. Experiment with emerging models and machine learning techniques for innovation. Qualifications & Experience 6-8 years of working experience in Image Processing using deep learning frameworks such as OpenCV, PyTorch, TensorFlow, Theano, and Caffe. Experience in Text Analytics using NLP tools and techniques on unstructured data. Proven track record in building, deploying, and scaling statistical and deep learning models. Experience with large-scale data (structured and unstructured), data management, parallel computing, and distributed systems. Ability to thrive with minimal supervision in a dynamic, fast-paced environment. Capability to understand diverse business processes and quickly contextualize data requirements. Strong problem-solving skills to translate business problems into actionable data strategies. Excellent communication skills (verbal and written) with a learning and innovation mindset. Strong passion for leveraging AI/ML to solve business problems and a proactive approach to experimentation. Hands-on experience with exploratory data analysis, machine learning, and advanced analytics methods. What We Offer Competitive compensation based on skills and experience. Leadership role in building and scaling AI/ML initiatives. Opportunity to work on high-impact global projects with cutting-edge technologies. Continuous learning, innovation, and professional development support. A collaborative, inclusive, and tech-driven workplace environment. If you're passionate about driving innovation through data and leading a dynamic team to solve real-world problems, we’d love to hear from you. Anand Soni Hitech Digital Solutions Show more Show less

Job Title: Backend Developer Internship In Mohali Location: Mohali Duration : 6 Months Stipend Details: Rs.10,000-15,000/month Job Summary: We are looking for a passionate and enthusiastic Intern to join our IT software solutions team. This internship provides an excellent opportunity to gain hands-on experience in full-stack development, working on cutting-edge technologies, including AI-driven applications. The ideal candidate should have a strong interest in both front-end and back-end development and be eager to learn and grow in a dynamic work environment. Responsibilities: Assist in the design, development, and maintenance of web applications and software solutions. Work with senior developers to implement front-end and back-end features using modern frameworks and technologies. Write clean and efficient code under the guidance of experienced developers. Participate in debugging, troubleshooting, and improving application performance. Collaborate with cross-functional teams to understand project requirements and deliver quality solutions. Learn and work on AI and machine learning integration as an additional skill. Stay updated with the latest trends and advancements in software development. Requirements: Currently pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, IT, or a related field. School Education Board should be CBSE/ICSE Basic knowledge of front-end technologies such as HTML, CSS, JavaScript, React.js, Angular, or Vue.js. Understanding of back-end development with Node.js, Python, Java, or PHP. Familiarity with databases like MySQL, PostgreSQL, or MongoDB. Exposure to cloud platforms such as AWS, Azure, or Google Cloud is a plus. Basic understanding of version control systems (Git, GitHub, GitLab). Interest in AI/ML technologies (TensorFlow, PyTorch, OpenAI, or related frameworks) is a plus. Strong problem-solving skills and eagerness to learn new technologies. Good communication and teamwork skills. Job Types: Full-time, Permanent, Internship Contract length: 6 months Pay: ₹12,000.00 - ₹15,000.00 per month Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Fixed shift Monday to Friday Morning shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you willing to relocate to Mohali ? What is your School Education Board ? Work Location: In person

We are seeking a talented MERN Stack Intern to join our dynamic team of innovators and help drive the development of our AI products from conception to deployment. As a MERN Stack Intern, you will collaborate closely with our multidisciplinary team of AI engineers, and domain experts to build robust and scalable software solutions that integrate AI technologies into real-world applications. The ideal candidate is passionate about leveraging technology to tackle complex challenges and has a strong background in both frontend and backend development. Title : MERN Stack Intern Internship Duration : 6 Months - Followed by PPO Location: Hyderabad (Onsite) No of Openings : 6 Work Timings : 2:00 PM to 11 PM IST Strictly 2025 passed outs only You can also apply for this job by clicking on the following link: https://hire.techolution.com/video-resume?role=f94974ce-b7b5-4ef7-aea8-63071f9e8cb9 Roles & Responsibilities: Collaborate with cross-functional teams to understand project requirements and translate them into technical specifications. Develop front-end components using React.js and integrate them with back-end services built with Node.js and Express.js . Design and implement RESTful APIs to facilitate communication between the front-end and back-end systems. Utilize MongoDB or other databases to store and retrieve data efficiently. Implement AI and machine learning algorithms to enhance product functionality and user experience. Write clean, maintainable, and well-documented code following best practices and coding standards. Perform code reviews, debugging, and troubleshooting to ensure the quality and reliability of the software. Required Skills: Bachelor’s or Master’s Degree in Computer Science, Engineering or a related field Proficiency in JavaScript, HTML, CSS, a nd related web technologies. Strong understanding of the MERN (MongoDB, Express.js, React.js, Node.js) stack. Familiarity with AI and machine learning concepts and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) will be a plus. Excellent problem-solving skills and attention to detail. Ability to work effectively in a collaborative team environment. Strong communication skills and a passion for learning new technologies. About Techolution: Techolution is a consulting firm on track to become one of the most admired brands in the world for "innovation done right" . Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. With that, we are now fully committed to helping our clients build the enterprise of tomorrow by making the leap from Lab Grade AI to Real World AI . We are honored to have recently received the prestigious Inc 500 Best In Business award, a testament to our commitment to excellence. While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Let’s give you more insights! One of our amazing products with Artificial Intelligence and Internet of Things: 1. https://faceopen.com/ : Our proprietary and powerful AI Powered user identification system which is built on artificial intelligence technologies such as image recognition, deep neural networks, and robotic process automation. (No more touching keys, badges or fingerprint scanners ever again!) Some videos you wanna watch! Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology. Show more Show less

Key Responsibilities: Design, develop, and deploy AI models and algorithms to solve business problems. Work with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Train, test, and validate models using large datasets. Integrate AI solutions into existing products and applications. Collaborate with data scientists, software engineers, and product teams to build scalable AI solutions. Monitor model performance and continuously improve accuracy and efficiency. Stay updated with the latest AI trends, tools, and best practices. Ensure AI models are ethical, unbiased, and secure. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 4 to 5 Years of Proven experience in developing and deploying AI/ML solutions. Proficiency in Python and libraries like NumPy, Pandas, OpenCV, etc. Solid understanding of machine learning, deep learning, and NLP techniques. Experience with cloud platforms (AWS, Azure, or Google Cloud) is a plus. Strong problem-solving skills and ability to translate business needs into technical solutions. Excellent communication and collaboration skills. Preferred Qualifications: Experience with data preprocessing, feature engineering, and model tuning. Familiarity with reinforcement learning or generative AI models. Knowledge of MLOps tools and pipelines (e.g., MLflow, Kubeflow). Hands-on experience in deploying AI applications to production environments. Job Types: Full-time, Permanent Pay: ₹1,200,000.00 - ₹2,000,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Provident Fund Location Type: In-person Schedule: Day shift Fixed shift Monday to Friday Ability to commute/relocate: Gandhinagar, Gujarat: Reliably commute or planning to relocate before starting work (Required) Experience: Android Development: 3 years (Required) Work Location: In person

Data Science and AI Developer **Job Description:** We are seeking a highly skilled and motivated Data Science and AI Developer to join our dynamic team. As a Data Science and AI Developer, you will be responsible for leveraging cutting-edge technologies to develop innovative solutions that drive business insights and enhance decision-making processes. **Key Responsibilities:** 1. Develop and deploy machine learning models for predictive analytics, classification, clustering, and anomaly detection. 2. Design and implement algorithms for data mining, pattern recognition, and natural language processing. 3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 4. Utilize advanced statistical techniques to analyze complex datasets and extract actionable insights. 5. Implement scalable data pipelines for data ingestion, preprocessing, feature engineering, and model training. 6. Stay updated with the latest advancements in data science, machine learning, and artificial intelligence research. 7. Optimize model performance and scalability through experimentation and iteration. 8. Communicate findings and results to stakeholders through reports, presentations, and visualizations. 9. Ensure compliance with data privacy regulations and best practices in data handling and security. 10. Mentor junior team members and provide technical guidance and support. **Requirements:** 1. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 2. Proven experience in developing and deploying machine learning models in production environments. 3. Proficiency in programming languages such as Python, R, or Scala, with strong software engineering skills. 4. Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Spark MLlib. 5. Solid understanding of data structures, algorithms, and computer science fundamentals. 6. Excellent problem-solving skills and the ability to think creatively to overcome challenges. 7. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. 8. Certification in Data Science, Machine Learning, or Artificial Intelligence (e.g., Coursera, edX, Udacity, etc.). 9. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. 10. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is an advantage. Data Manipulation and Analysis : NumPy, Pandas Data Visualization : Matplotlib, Seaborn, Power BI Machine Learning Libraries : Scikit-learn, TensorFlow, Keras Statistical Analysis : SciPy Web Scrapping : Scrapy IDE : PyCharm, Google Colab HTML/CSS/JavaScript/React JS Proficiency in these core web development technologies is a must. Python Django Expertise: In-depth knowledge of e-commerce functionalities or deep Python Django knowledge. Theming: Proven experience in designing and implementing custom themes for Python websites. Responsive Design: Strong understanding of responsive design principles and the ability to create visually appealing and user-friendly interfaces for various devices. Problem Solving: Excellent problem-solving skills with the ability to troubleshoot and resolve issues independently. Collaboration: Ability to work closely with cross-functional teams, including marketing and design, to bring creative visions to life. interns must know about how to connect front end with datascience Also must Know to connect datascience to frontend **Benefits:** - Competitive salary package - Flexible working hours - Opportunities for career growth and professional development - Dynamic and innovative work environment Job Type: Full-time Pay: ₹8,000.00 - ₹12,000.00 per month Schedule: Day shift Ability to commute/relocate: Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

As Machine Learning Engineer, you’ll be applying your expertise to help us develop a world-leading capability in this exciting and challenging domain. You will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions. Primary responsibilities: 1. Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models. 2. Architecting large scale data analytics / modeling systems. 3. Designing and programming machine learning methods and integrating them into our ML framework / pipeline. 4. Work closely with data scientists/analyst to collaborate and support the development of ML data pipelines, platforms and infrastructure 5. Evaluate and validate the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science / computer science. Creation of microservices and APIs for serving ML models and ML services 7. Evaluating new machine learning methods and adopting them for our purposes. 8. Feature engineering to add new features that improve model performance. Required skills: 1. Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with 3+ years of professional work experience working on real-world applications. 2. Strong programming background, e.g. Python, Pytorch, MATLAB, C/C++, Java, and knowledge of software engineering concepts (OOP, design patterns). 3. Knowledge of machine learning libraries Tensorflow, Keras, scikit-learn, pyTorch, 4. Excellent mathematical and skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts 5. Architecting and implementing end-to-end solutions for accelerating experimentation and model building 6. Working knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) 7. Ability to perform both independent and collaborative research. 8. Excellent written and spoken communication skills. Preferred qualification and experience: B.E.\B. Tech\B.S. candidates' entries with 3+ years of experience in the aforementioned fields will be considered. M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred. Job Types: Full-time, Permanent Pay: ₹668,717.16 - ₹1,944,863.46 per year Benefits: Flexible schedule Paid sick time Paid time off Schedule: Day shift Supplemental Pay: Yearly bonus Ability to commute/relocate: Naranpura, Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI/ML: 3 years (Required) Work Location: In person

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and other AI technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement AI-driven applications. - Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms and services for AI deployment. - Familiarity with data preprocessing and feature engineering techniques. - Knowledge of natural language processing and its applications. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education Show more Show less

SDE – Machine Learning (AI Agents) Location: Remote | Type: Paid | Experience: Max 1 year hands-on with AI Agents, LLMs, or RAG What We're Looking For: We need an exceptionally strong coder with real-world experience in LLMs, RAG systems, and multi-agent orchestration . You must be curious, fast-learning , and excited to build with a high-performance startup team . Who We Are: Steps AI builds advanced GenAI products that power agentic data retrieval and automation for enterprises. We work on LLMs, multi-agent systems, RAG, LLMOps, and generative AI orchestration. Key Responsibilities: Develop LLM-based agents for enterprise use cases Build scalable RAG pipelines (Naive, Graph, Struct) Implement LLMOps and production-ready ML infrastructure Optimize LLM reasoning with CoT, ToT, GoT prompting Design and deploy multi-agent orchestration with tools like LangGraph, LangChain, or AutoGen What You Must Know: Solid grasp of LLMs (GPT, LLaMA, etc.) and transformer architectures Hands-on experience with RAG systems and agentic workflows Familiarity with Docker, MLOps, cloud deployment (AWS/Azure) Strong coding skills, system design, and software architecture principles Proficiency in Python, PyTorch/TensorFlow, Hugging Face, LangChain, etc. Ability to work collaboratively and own outcomes Why Join Us: Work on cutting-edge AI products, not toy projects Build with serious engineers in a fast-moving startup Mentorship, autonomy, and future full-time opportunity ⚠️ Important: Only apply if you have up to 1 year of hands-on experience with LLMs, AI Agents, or RAG. No exceptions. Steps AI – We co-create the AI-native enterprise. Show more Show less

Position Title: AI Engineer Position Type: Regular - Full-Time Position Location: Gurgaon Requisition ID: 35046 We know food's importance in people's lives—the power it has to bring people, families, and communities together. We aim to bring enjoyment to people’s lives through great-tasting food that reflects our values. BRIEF SUMMARY OF POSITION AND TEAM We are seeking a highly skilled and innovative AI Engineer to lead the design, development, and deployment of advanced Agentic AI and Generative AI (Gen AI) systems. This role is ideal for individuals passionate about building intelligent agents capable of autonomous decision-making and generative models that produce novel content across various modalities, including text, image, audio, and others. The successful candidate will collaborate with cross-functional teams to create next-generation AI solutions that drive business value and technological advancement. Key Responsibilities Agentic AI Development: Design, implement, and optimize autonomous AI agents capable of reasoning, planning, and executing complex tasks with minimal human intervention. Develop frameworks for multi-agent collaboration, negotiation, and coordination. Integrate agentic systems with real-world applications, ensuring robustness, safety, and ethical alignment. Generative AI ( Gen AI ): Research, prototype, and deploy state-of-the-art generative models for content creation in text, image, audio, and video. Fine-tune and customize large language models (LLMs) and other generative architectures to meet specific business and user needs. Implement prompt engineering, retrieval-augmented generation, and evaluation pipelines for Gen AI solutions. Collaboration & Integration: Work closely with product managers, data scientists, and software engineers to integrate AI solutions into products and platforms. Contribute to the development of scalable, production-ready AI systems, including APIs and user interfaces. Research & Innovation: Evaluate emerging tools, platforms, and methodologies to enhance the AI engineering toolkit. Governance & Ethics: Ensure all AI systems adhere to ethical standards, data privacy regulations, and responsible AI practices. Participate in safety audits, bias assessments, and continuous monitoring of deployed models. Qualifications University degree in Computer Science (or related field) or equivalent work experience. At least five years of experience working with programming languages such as Python or equivalent. 3+ years of experience in AI engineering, with demonstrable expertise in agentic systems and generative models. Hands-on experience with prompt engineering, fine-tuning LLMs, or deploying Gen AI in production. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, etc. Strong understanding of reinforcement learning, multi-agent systems, and large language models. Experience with cloud-based AI services (e.g., AWS, Azure, GCP) and MLOps best practices. Excellent problem-solving, communication, and collaboration skills. Self-directed, independent, and comfortable in fast-paced, ambiguous, and often multi-directional work environments. McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law. McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to find appropriate solutions. Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain’s Global Privacy Policy and Global Employee Privacy Policy , as applicable. You can understand how your personal information is being handled here . Job Family: Information Technology Division: Global Digital Technology Department: Global Data and Analytics Location(s): IN - India : Haryana : Gurgaon Company: McCain Foods(India) P Ltd

Job Information Department Name Development Work Experience 2 - 6 Years Date Opened 13/06/2025 Industry IT Services Job Type Full time City Bangalore Province Karnataka Country India Postal Code 560100 Job Description We are looking for an experienced Full Stack Developer to join our team. The ideal candidate should have strong expertise in both frontend and backend development, especially using React and Python, with experience integrating AI/ML models, working with telemetry tools, and building scalable web applications. This role demands strong problem-solving skills, a collaborative mindset, and a keen interest in innovative technologies like simulation modelling and AI observability. Responsibilities Develop and maintain scalable full-stack web applications using React (frontend) and Python (backend) Design, build, and integrate RESTful APIs and microservices Collaborate with AI/ML engineers to integrate machine learning models into production environments Work with telemetry and observability tools to monitor system performance and user behavior Contribute to simulation modelling for testing, optimization, or ML model evaluation Participate in code reviews, unit testing, and CI/CD pipelines Coordinate with cross-functional teams to ensure successful delivery of AI-driven features Write clean, maintainable, and well-documented code Ensure security, scalability, and performance of systems across the stack Requirements Proficiency in React.js , JavaScript , and/or TypeScript . Experience with Redux or Recoil for state management. Strong understanding of responsive UI design using HTML5 , CSS3 , and SCSS . Experience with frontend frameworks like Bootstrap or Tailwind CSS . Strong hands-on experience with Python . Familiarity with backend frameworks like Django , FastAPI , or Flask . Good knowledge of REST API design and development. Working knowledge of machine learning models . Familiarity with ML libraries such as scikit-learn , TensorFlow , or PyTorch . Experience integrating AI/ML models into web applications (preferred). Exposure to monitoring and logging tools like Prometheus , Grafana , OpenTelemetry , or Sentry . Understanding of observability concepts, including metrics , logs , and traces . Basic knowledge of simulation tools like SimPy , AnyLogic , or custom simulation logic in Python. Experience using simulation modelling for testing or optimization. Good understanding of Docker , Git , and DevOps workflows . Experience working with databases like MongoDB or MySQL . Strong communication , analytical , and problem-solving skills. Ability to work effectively in agile and cross-functional team environments. Experience and Qualification 3–6 years of relevant experience in full-stack or ML-integrated application development. Bachelor’s or Master’s degree in Computer Science , Engineering , or related field. Strong ownership mindset and ability to deliver independently.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Good To Have Skills: Experience with cloud-based AI services. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Experience in developing and deploying chatbots and conversational agents. Additional Information: - The candidate should have minimum 7.5 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education Show more Show less