1,316 machine learning jobs in India.

... Advance RAG, NLP, Transformer models, LangChain, LlamaIndex.- Agentic AI concepts and applications.- GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases.- Machine learning, Deep Learning architecture, OCR.- Cloud platforms (AWS, Azure, Google Cloud).- Python, Fast API, SDA based implementations. (ref:hirist.tech)

$40 USD

... Data visualization experience using tools such as Power BI or Tableau. Relevant certifications in data engineering on cloud platforms. Basic understanding of machine learning and Generative AI concepts. As one team of 1,20,000 colleagues, we share a common set of values - Integrity, Intensity, Innovation and Involvement ...

• On-site
• Full-time

₹40 INR / year

... technologies powered by a proprietary Biometric Engine. We are seeking a highly skilled Data Scientist (Individual Contributor) to drive our predictive analytics and machine learning initiatives. You will work on cutting-edge data science challenges, applying machine learning techniques to large datasets to generate actionable insights ...

Web

... and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Experience in Core Java (Lambdas, Generics, Collections, ...

... on code development to enable our AI/ML platform, ensuring robustness, scalability, and high performance. Adopt the best practices in software engineering, machine learning operations (MLOps), and data governance. Maintain consistent code check-ins every sprint to ensure continuous integration and development. Executes ...

... The ideal candidate is highly experienced with Power BI and Looker, has strong Python and SQL skills, and brings strong analytical thinking with exposure to machine learning. This role is expected to work closely with project stakeholders to translate business requirements into actionable dashboards, reports, and analytical ...

• Hybrid
• Full-time

... engineering teams, influence cross-functional product decisions, and architect highly scalable, low-latency search systems leveraging modern Information Retrieval, Machine Learning, and Generative AI technologies. Employment Type: Fulltime - Experience: 10-13 Yrs. - Working Model: Work from Office – 5 Days per Week Establish best ...

• Full-time

This role is for one of our clients Industry: E-Learning Providers Company Name: Codeyoung Seniority level: Associate Level Min Experience: 1+ years Location: Bengaluru JobType: full-time

... at all organizational levels, including customers as needed. Skills & Experience A bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant factor. Hands On experience with BOOMI Integration is important. 5+ years of software and platform ...

... data validation and cleansing processes. Collaborate closely with data scientists and analysts to provide clean, structured data for advanced analytics and machine learning models. Oversee and manage big data technologies and frameworks, including Hadoop, Spark, and Apache Airflow, to handle large-scale data processing ...

• Hybrid

... strategic bridge between complex business challenges and cutting-edge AI solutions. You will lead the design and implementation of scalable, high-performance machine learning and Generative AI architectures, ensuring they align with enterprise-grade requirements. Working closely with cross-functional product teams, data ...

... develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI. Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational ...

... Experience with CI/CD and DevOps responsibilities for deploying and supporting software in production - Good understanding of implementing and integrating AI, Machine Learning and related data solutions NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, ...

... cleaning, and engineering complex, unstructured data to developing highly scalable models.- Core Algorithmic Design: Evaluate, select, and build appropriate Machine Learning and Deep Learning algorithms to ensure model accuracy, optimization, and statistical robustness.- GenAI & LLM Workflows: Apply recent advancements ...

Rs 5 - 10 lakhs p.a.

... solutions using Generative AI and Machine Learning. Should have extensive experience in algorithms and statistics and expertise in natural language processing, machine learning, deep learning, and data mining. Demonstrate deep knowledge and ability to operationalize and integrating leading machine learning and data technologies ...

• Hybrid

... requirements. Strong communication skills to collaborate with technical and non-technical teams. Experience with containerization (Docker, Kubernetes). Knowledge of machine learning models and integration into data pipelines. Agile or Scrum methodology experience. Familiarity with CI/CD processes for data engineering workflows.

... talent. Relay helps its clients in majorly following areas: Accounting & Finance, Administration, Operations, Space Planning, Leasing, Data Science, Data Search, Machine Learning and Artificial Intelligence etc. The principals and founders of Relay Human Cloud have been focused on delivering high-quality operations in cutting-edge ...

Role : Senior Data Scientist - Digital AssetsJob Description :Skills and Competencies :- Experience in data science, data engineering, machine learning, financial analytics, digital assets, capital markets or risk analytics- Strong understanding of structured and unstructured data, including on-chain and off-chain data ...

... Experience with MongoDB, Redis, Cassandra, and Elasticsearch . Experience with Docker, Kubernetes, and CI/CD pipelines. Familiarity with DevOps practices and distributed systems. Exposure to machine learning and big data technologies. Experience & Education Experience: 8-12 years Bachelor's degree in Engineering or equivalent