4,191 data science machine learning jobs in Bengaluru, India.

... using data science and machine learning we would like to talk to you. Function : Data Science and Analysis → Data Science / Machine Learning Highly skilled at Data Interpretation Good exposure to machine learning concepts and algorithms Must be fluent with any one of Python, R, Java Strong in statistical & machine learning ...

• Hybrid

... advanced data science, machine learning, and Generative AI solutions for business https://jobeax.com/link/YL6tw2G0ApPvLUe6 :- Develop, implement, and deploy Machine Learning and Generative AI solutions across business functions.- Analyze large datasets, derive actionable insights, and build scalable analytical workflows.- ...

... models.- Drive adoption of MLOps practices across the data science https://jobeax.com/link/nxRzjLtUxo5zQKq9 Skills & Qualifications:- 9 - 15 years of experience in Data Science, Machine Learning, Advanced Analytics, or related fields.- Strong experience leading data science teams and large-scale analytical initiatives.- Excellent ...

• Full-time

This role is for one of our clients Seniority level: Associate level Industry: Technology, Information and Internet Company Name: MyNaksh Experience: 3+ yrs Location: Bengaluru Job Type: Full-time

... continuous learning.- Ensure compliance with AI governance and ethical https://jobeax.com/link/NKlt3YnZFxTxA2qx Qualifications : - Bachelors or Masters or Ph.D. in Data Science, Machine Learning, or related field.- 6+ years of experience in data science and AI/ML model development.- Expertise in NLP, deep learning, and advanced ...

Role : Machine Learning Engineer - AI ResearchLocation : BangaloreEmployment Type : Full-timeExperience : 3+ YearsAbout the Role : We are looking for a Machine Learning Engineer - AI Research with strong hands-on experience in deep learning, large language models, and model development. The role involves building, fine-tuning, ...

... applicable).Skill set :- 5+ years of experience in AI/ML/NLP, preferably in voice assistant, emotion AI, or conversational AI domains.- Strong expertise in : 1. Deep Learning (TensorFlow, PyTorch)2. NLP/NLU/NLG frameworks (spaCy, HuggingFace Transformers, Rasa, etc.)3. Speech Technologies (ASR : DeepSpeech, Whisper; TTS : Tacotron, ...

• Hybrid

... improvement of data science and machine learning by following industry best practices and staying up to date with and extending the state-of-the-art in Machine Learning Research. Integrate data science solutions into current business processes. Develop and recommend process standards and best practices in Machine Learning as ...

... create sustainable solutions that improve quality of life and meet society's evolving needs. Work with data scientists, data analysts, computational engineers, machine learning engineers, software developers, or business representatives across our global organization to research, develop, and deliver data science tools,models, ...

... science and machine learning to continuously enhance modeling practices and methodologies. Required Experience and Skills – Our Must haves: - Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; 8+ years of experience in data science with a strong focus on model development and algorithm ...

... and evaluate model performance.- Collaborate with senior engineers to productize ML models into scalable services.- Participate in end-to-end ML workflows from data ingestion to model https://jobeax.com/link/6K228mqDEvef9KNC Qualifications & Skills :- 2 to 4 years of experience in AI/ML engineering or data science roles.- ...

• Hybrid

... This role is ideal for someone who is equally comfortable developing models, operationalizing them in production, and mentoring others to raise the maturity of data science and ML engineering practices across the team.. Lead the design, development, evaluation, and deployment of machine learning models for predictive, classification, ...

... blueprints, scanned PDFs, and SVG files.- Contribute development of multi-modal models that integrate vision with language-based features (NLP / LLMs).- Follow best data science and machine learning practices, including data-centric development, experiment tracking, model validation, and reproducibility.- Collaborate with cross-functional ...

• Hybrid

... LlamaIndex, advanced embedding models.- GenAI Skills: Deep expertise in advanced RAG (HyDE, parent-document retrieval), prompt optimization, and parameter-efficient fine-tuning.- Qualifications: Bachelors/Master's in CS/Data Science with 4 - 7 years in ML/AI, including 1+ years specifically working with LLMs (ref:hirist.tech)

... 1+ years of hands-on experience in classical machine learning, data science, predictive modeling, or statistical modeling. - D. in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, Engineering, or a related field, or equivalent practical experience. - Strong understanding of machine learning fundamentals, ...

... reliability. Data Governance: Implement RBAC, data classification, and lineage tracking to ensure compliance and audit readiness. Team Leadership: Mentor and guide data engineers, fostering a culture of continuous learning and architectural rigor. Bachelor's degree in Computer Science, Information Systems, Data Science, or a ...

1350

... Science/Engineering team at MoEngage, here are some things you can expect: Work with A players (some of the best talents in the country), and expedite your learning curve and career growth Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Spark, LLM and share with the team and more importantly, have ...

• On-site

80k

... data science activities, supporting your team to deliver quality outcomes. Key responsibilities include: - Leading the design, development, and validation of data science programming solutions for clinical trials. - Collaborating with biostatisticians, data managers, and clinical teams to develop data specifications and ...

... business judgement, effective execution and resilience, while promoting innovation, continuous learning and responsible use of data. Key Responsibilities Lead data science projects from problem definition through analysis, modelling, implementation and evaluation. Define appropriate statistical, mathematical and machine ...

... leadership teams. Provide technical guidance and mentoring to junior data scientists and analysts. Collaborate with global teams and external partners to deliver data-driven solutions. Advanced knowledge of Python, SQL, and modern data science libraries. Strong experience with machine learning, deep learning, and statistical ...