software development engineer Jobs in Bangalore

software development engineer

software engineer

machine learning engineer

Blue Yonder

<div>
 
 Overview &amp; Scope
 
 
 
 <ul>
 <li>
 Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor&rsquo;s
 </li>
 <li>
 &ldquo;Best Places to Work&rdquo;
 </li>
 <li>
 We are seeking a highly skilled and motivated Data Science Consultant to join our Supply Chain
 </li>
 <li>
 Management team. The ideal candidate will leverage data-driven insights to optimize supply chain
 </li>
 <li>
 processes, improve decision-making, and drive business results. You will work closely with crossfunctional
 </li>
 <li>
 teams, utilizing advanced data analytics, machine learning, and optimization techniques to
 </li>
 <li>
 enhance supply chain efficiency, forecast demand, and solve complex operational challenges.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Modeling: Analyze large, complex data sets related to demand forecasting, supply
 </li>
 <li>
 planning to uncover actionable insights.
 </li>
 <li>
 Machine Learning: Apply statistical and machine learning techniques to forecast demand which would
 </li>
 <li>
 include
 </li>
 <li>
 Data ingestion, data visualization and insights, verifying the integrity of data used for analysis
 </li>
 <li>
 Feature engineering, configuring forecasting models
 </li>
 <li>
 Fine tune forecasting model
 </li>
 <li>
 Present results in a clear manner
 </li>
 <li>
 Supply Chain Optimization: Implement optimization algorithms to improve supply chain efficiency, reduce
 </li>
 <li>
 costs, and enhance service levels.
 </li>
 <li>
 Consulting &amp; Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising
 </li>
 <li>
 stakeholders on best practices, tools, and strategies for effective supply chain management.
 </li>
 <li>
 Process Improvement: Identify inefficiencies within the supply chain and recommend data-driven
 </li>
 <li>
 strategies for continuous improvement.
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 Educational Background: Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Industrial
 </li>
 <li>
 Engineering, Operations Research, Supply Chain Management, or a related field.
 </li>
 <li>
 Experience: 5-12 years of experience in data science or Supply Chain Operations Analytics, or worked on
 </li>
 <li>
 forecasting projects leveraging statistical/ML models; experience with data visualization tools
 </li>
 <li>
 Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, and
 </li>
 <li>
 experience with supply chain management platforms/processes. Good, applied statistics skills, such as
 </li>
 <li>
 distributions, statistical testing, regression, etc
 </li>
 <li>
 Machine Learning: Hands-on experience with machine learning techniques/algorithms (e.g., regression,
 </li>
 <li>
 classification, clustering) and optimization models.
 </li>
 <li>
 Industry Knowledge: Familiarity with supply chain processes such as demand forecasting, inventory
 </li>
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 management, procurement, logistics, and distribution.
 </li>
 <li>
 Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and
 </li>
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 translate insights into actionable recommendations.
 </li>
 <li>
 Personal competencies
 </li>
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 Ability to work independently and as part of a team in a consulting environment.
 </li>
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 Attention to detail, with the ability to manage large data sets and complex analysis.
 </li>
 <li>
 Communication: Excellent verbal and written communication skills to present findings clearly to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Our Values
 
 
 
 If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: Core Values
 
 
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
</div>

Staff Data Scientist I - Python, R & ML

NTT DATA North America

<div>
 
 Req ID:
 
 336383
 
 
 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
 
 We are currently seeking a Data Science Business Sr. Consultant (BY/o9) to join our team in Bangalore, Karn&amacr;taka (IN-KA), India (IN).
 
 
 
 Position: Senior Consultant, Data Scientist &ndash; Supply Chain Consulting
 
 
 
 
 Experience Required:
 
 5 to 8 years in Data Science, Analytics, or related fields
 
 
 
 Location:
 
 Remote (within India) Or Hybrid from our offices in Bangalore, Delhi, and other locations
 
 
 
 What You&rsquo;ll Do
 
 
 
 NTT Data is seeking an experienced
 
 Data Scientist
 
 to join its
 
 Supply Chain Consulting
 
 team. You will be part of a global team that designs and delivers cutting-edge supply chain solutions for leading organizations.
 
 
 Your primary focus will be on developing and deploying
 
 forecasting solutions
 
 using both traditional statistical models and modern machine learning techniques. In addition to forecasting, you will contribute to building
 
 AI/ML-driven solutions
 
 for diverse real-world supply chain challenges.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and implement time series forecasting models for demand planning and other supply chain use cases.
 </li>
 <li>
 Apply statistical techniques such as ARIMA, ETS etc for effective &amp; strong baseline modeling.
 </li>
 <li>
 Implement and optimize machine learning algorithms (e.g., Boosting methods like LightGBM, CatBoost etc) to improve forecast accuracy.
 </li>
 <li>
 Collaborate with clients to understand business problems and translate them into data science solutions.
 </li>
 <li>
 Contribute to broader AI/ML initiatives across supply chain functions, including anomaly detection, inventory optimization, and scenario modeling.
 </li>
 <li>
 Communicate results effectively to technical and non-technical stakeholders.
 </li>
 <li>
 Work closely with digital supply chain platforms such as o9, Blue Yonder, or similar (experience preferred).
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 5 to 8 years of hands-on experience in Data Science or Analytics, preferably in supply chain or operations domains.
 </li>
 <li>
 Strong expertise in time series forecasting, with proven experience implementing models like ARIMA, ETS, etc.
 </li>
 <li>
 Solid experience in applying machine learning techniques such as boosted trees, random forests, etc.
 </li>
 <li>
 Proficiency in Python (including libraries like pandas, scikit-learn, statsmodels/StatsForecast/DARTS etc) and SQL.
 </li>
 <li>
 Exposure to or experience with digital supply chain tools (e.g., o9, Blue Yonder) is highly desirable.
 </li>
 <li>
 Strong problem-solving and communication skills with the ability to manage client interactions independently.
 </li>
 <li>
 Understanding of MLOps, model deployment, or cloud platforms (Azure, AWS) is a plus.
 
 
 </li>
 </ul>
 
 About NTT DATA
 
 
 
 NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
 
 
 Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client&rsquo;s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
 
 
 
 NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us.
 
 
 
 
 This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
 
 
</div>

Data Science Business Sr. Consultant (BY/o9)

Olyv India (formerly SmartCoin)

<div>
 
 
 About Olyv
 
 
 
 
 Olyv is on a mission to build India&rsquo;s largest fully automated digital financial inclusion platform, offering a diverse range of financial services including micro-loans for the underserved middle/lower-income segment, digital gold savings, and credit health solutions. Our vision is to empower millions by enabling access to responsible financial products through data, technology, and innovation.
 
 
 
 Role: Data Scientist &ndash; Marketing &amp; Credit Risk
 
 
 
 As a Data Scientist at Olyv, you will be part of a high-impact team driving data-led decision-making across both
 
 Marketing
 
 and
 
 Credit Risk
 
 verticals. You will design, develop, and deploy advanced machine learning models that fuel growth strategies, customer engagement, and risk management decisions.
 
 
 
 Requirement 1: Data Scientist &ndash; Marketing
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 2 or more years of work experience in creating and deploying ML models
 </li>
 <li>
 Bachelor&rsquo;s degree in Engineering or a related field
 </li>
 <li>
 Advanced proficiency in SQL and Python is a must
 </li>
 <li>
 Hands-on experience in deploying ML models into production (batch or streaming)
 </li>
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 Experience in building ML models for marketing campaign channels such as Propensity Models, Hyper-Personalization, and Next Best Action (NBA)
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail and the ability to manage multiple projects with evolving priorities
 </li>
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 Proven experience in end-to-end ownership of projects and collaboration with multiple stakeholders
 </li>
 <li>
 Excellent communication and presentation skills to simplify complex findings
 </li>
 <li>
 Experience with LLMs and Deep Learning models will be an added advantage
 
 
 </li>
 </ul>
 
 
 Roles And Responsibilities
 
 
 
 
 <ul>
 <li>
 End-to-end ownership of development and implementation of ML models for marketing, including design, validation, deployment, and monitoring
 </li>
 <li>
 Work with Non-Bureau and Alternate Data to build marketing analytics models
 </li>
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 Collaborate with teams such as Growth, Tech, Marketing, and Sales to enhance model usage in business decision-making
 </li>
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 Design and implement statistical and ML-based solutions for various marketing initiatives
 </li>
 <li>
 Build automated data pipelines for scalable and efficient data processing
 </li>
 <li>
 Mentor junior data analysts and data scientists
 
 
 </li>
 </ul>
 
 Requirement 2: Data Scientist &ndash; Credit Risk
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 2 or more years of work experience in creating ML models for Retail Credit Risk
 </li>
 <li>
 Bachelor&rsquo;s degree in Engineering or a related field
 </li>
 <li>
 Advanced proficiency in SQL and Python is a must
 </li>
 <li>
 Strong understanding of Credit Risk concepts &ndash; Credit Bureau data, default rates, roll rates, vintage analysis, etc.
 </li>
 <li>
 Experience in Model Validation and Monitoring using metrics such as AUC, GINI, KS, PSI, and Drift
 </li>
 <li>
 Must have deployed ML models into production (batch or streaming)
 </li>
 <li>
 Strong analytical and problem-solving skills with proven ability to manage multiple priorities
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 <li>
 Experience in LLMs and Deep Learning models will be an added advantage
 
 
 </li>
 </ul>
 
 
 Roles And Responsibilities
 
 
 
 
 <ul>
 <li>
 End-to-end ownership of ML model development and implementation for credit risk assessment, including design, validation, deployment, and post-deployment monitoring
 </li>
 <li>
 Work with Non-Bureau and Alternate Data to build robust credit risk models
 </li>
 <li>
 Collaborate with Risk, Tech, and Collections teams to embed model insights in decision-making
 </li>
 <li>
 Design statistical and ML-based solutions to optimize credit strategies and risk evaluation
 </li>
 <li>
 Build automated data pipelines and tools for model deployment and monitoring
 </li>
 <li>
 Mentor junior analysts in data science practices
 
 
 </li>
 </ul>
 
 
 What You Can Expect
 
 
 
 
 <ul>
 <li>
 A culture that encourages openness, innovation, and continuous learning
 </li>
 <li>
 Opportunity to make a meaningful impact by enabling data-driven decision-making across business functions
 </li>
 <li>
 The chance to uplift millions of people by contributing to financial inclusion
 </li>
 <li>
 Exposure to advanced ML, LLM, and data infrastructure frameworks in a fast-scaling fintech environment
 </li>
 </ul>
</div>

Data Scientist

Straive

<div>
 
 
 About the Role
 
 
 
 Straive is looking for a talented and driven
 
 Consultant / Data Scientist / GenAI Engineer
 
 to join our
 
 Analytics &amp; GenAI delivery team
 
 . In this role, you will work under the guidance of the Senior Project Manager / Engagement Manager to design, develop, and deploy advanced AI/ML and Generative AI solutions for global enterprise clients. You will be part of a high-performing team, collaborating with both onshore and offshore members to build scalable, production-grade AI systems.
 
 
 
 
 
 This role is ideal for candidates from
 
 premier engineering institutes
 
 with
 
 2&ndash;3 years of relevant experience
 
 in Python development, LLM integration, and RAG workflows, along with a passion for solving complex problems in real-world business contexts.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain
 
 Python-based
 
 applications, AI/ML models, and data processing pipelines for GenAI projects.
 </li>
 <li>
 Implement
 
 Large Language Model (LLM)
 
 integrations, including
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines and embedding-based search solutions.
 </li>
 <li>
 Build data ingestion and transformation workflows, working with structured and unstructured datasets.
 </li>
 <li>
 Optimize AI model performance through
 
 prompt engineering
 
 , fine-tuning, and evaluation techniques.
 </li>
 <li>
 Collaborate closely with senior team members to translate business requirements into technical solutions.
 </li>
 <li>
 Integrate AI solutions with
 
 vector databases
 
 (e.g., Cosmos DB, Pinecone, ChromaDB) and API-driven applications.
 </li>
 <li>
 (Optional) Contribute to
 
 cloud-native deployments
 
 and
 
 Azure architecture
 
 &ndash;based solutions, including containerization, CI/CD, and basic MLOps workflows.
 </li>
 <li>
 Document workflows, maintain code repositories, and follow Agile development practices.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 2&ndash;3 years
 
 of relevant experience in AI/ML development, preferably in enterprise projects.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field from a
 
 premier engineering institute
 
 .
 </li>
 <li>
 Proficiency in
 
 Python
 
 programming and familiarity with relevant libraries (e.g., LangChain, Hugging Face, Pandas, NumPy).
 </li>
 <li>
 Hands-on experience implementing
 
 RAG pipelines
 
 , embeddings, and vector search solutions.
 </li>
 <li>
 Understanding of
 
 LLM architectures
 
 and integration patterns.
 </li>
 <li>
 Working knowledge of
 
 SQL
 
 and data processing best practices.
 </li>
 <li>
 Basic knowledge of
 
 cloud DevOps concepts
 
 , preferably with
 
 Azure
 
 (AWS/GCP experience is also acceptable).
 </li>
 </ul>
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Exposure to
 
 agentic AI frameworks
 
 such as LangGraph, Semantic Kernel, or similar.
 </li>
 <li>
 Familiarity with ML model lifecycle management and deployment workflows.
 </li>
 <li>
 Prior experience working with cross-border teams and Agile environments.
 </li>
 </ul>
 
 
</div>

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases
 </li>
 <li>
 Experience using LLMs in software applications, including prompting, calling, and processing outputs
 </li>
 <li>
 Experience with AI frameworks such as LangChain
 </li>
 <li>
 Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure
 </li>
 <li>
 Proof of Concept (POC) Development: Develop 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.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 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.
 </li>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. .
 </li>
 <li>
 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.
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field.
 </li>
 <li>
 Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
 </li>
 <li>
 Ability to communicate results to technical and non-technical audiences
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 Work with broader team to build, analyze and improve the AI solutions.
 </li>
 <li>
 You will also work with our software developers in consuming different enterprise applications.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.
 </li>
 <li>
 Proficient in Python with focus on Data Analytics Packages.
 </li>
 <li>
 Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions.
 </li>
 <li>
 Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.
 </li>
 <li>
 Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience with conversation analytics. Experience with cloud technologies
 </li>
 <li>
 Experience with data exploration tools such as Tableu
 </li>
 </ul>
</div>

MakeMyTrip

<div>
 
 
 Role:
 
 Principal Data Engineer
 
 
 
 Location:
 
 Bangalore
 
 
 
 Years of Experience:
 
 8-10 Years
 
 
 
 About Role:
 
 
 
 We are looking for experienced Data engineers with excellent problem-solving skills to develop machine-learning powered Data Products design to enhance customer experiences.
 
 
 
 About us:
 
 
 
 Nurtured from the seed of a single great idea - to empower the traveler - MakeMyTrip went on to pioneer India&rsquo;s online travel industry Founded in the year 2000 by Deep Kalra, MakeMyTrip has since transformed how India travels. One of our most memorable moments has been to ring the bell at NASDAQ in 2010.
 
 
 Post-merger with the Ibibo group in 2017, we created a stronger identity and traction for our portfolio of brands, increasing the pace of product and technology innovations. Ranked amongst the LinkedIn Top 25 companies 2018.
 
 
 GO-MMT is the corporate entity of three giants in the Online Travel Industry&mdash;Goibibo, MakeMyTrip and RedBus. The GO-MMT family celebrates the compounded strengths of their brands. The group company is easily the most sought after corporate in the online travel industry.
 
 
 
 
 
 
 About the team:
 
 
 
 MakeMyTrip as India&rsquo;s leading online travel company and provides petabytes of raw data which is helpful for business growth, analytical and machine learning needs.
 
 
 
 
 
 Data Platform Team is a horizontal function at MakeMyTrip to support various LOBs (Flights, Hotels, Holidays, Ground) and works heavily on streaming datasets which powers personalized experiences for every customer from recommendations to in-location engagement.
 
 
 There are two key responsibilities of Data Engineering team:
 
 <ul>
 <li>
 One to develop the platform for data capture, storage, processing, serving and querying.
 </li>
 <li>
 Second is to develop data products starting from;
 </li>
 </ul>
 
 o personalization &amp; recommendation platform
 
 
 o customer segmentation &amp; intelligence
 
 
 o data insights engine for persuasions and
 
 
 o the customer engagement platform to help marketers craft contextual and personalized campaigns over multi-channel communications to users
 
 
 
 
 
 We developed Feature Store, an internal unified data analytics platform that helps us to build reliable data pipelines, simplify featurization and accelerate model training. This enabled us to enjoy actionable insights into what customers want, at scale, and to drive richer, personalized online experiences.
 
 
 
 Technology experience
 
 :
 
 <ul>
 <li>
 Extensive experience working with large data sets with hands-on technology skills to design and build robust data architecture
 </li>
 <li>
 Extensive experience in data modeling and database design
 </li>
 <li>
 At least 6+ years of hands-on experience in Spark/BigData Tech stack
 </li>
 <li>
 Stream processing engines &ndash; Spark Structured Streaming/Flink
 </li>
 <li>
 Analytical processing on Big Data using Spark
 </li>
 <li>
 At least 6+ years of experience in Scala
 </li>
 <li>
 Hands-on administration, configuration management, monitoring, performance tuning of Spark workloads, Distributed platforms, and JVM based systems
 </li>
 <li>
 At least 2+ years of cloud deployment experience &ndash; AWS | Azure | Google Cloud Platform
 </li>
 <li>
 At least 2+ product deployments of big data technologies &ndash; Business Data Lake, NoSQL databases etc
 </li>
 <li>
 Awareness and decision making ability to choose among various big data, no sql, and analytics tools and technologies
 </li>
 <li>
 Should have experience in architecting and implementing domain centric big data solutions
 </li>
 <li>
 Ability to frame architectural decisions and provide technology leadership &amp; direction
 </li>
 <li>
 Excellent problem solving, hands-on engineering, and communication skills
 </li>
 </ul>
 
 
</div>

Principal Data Engineer

Explore 35+ Machine learning engineer in Bangalore this November. Find roles across top companies and apply now to boost your career.

35 machine learning engineer jobs IN Bangalore

Staff Data Scientist I - Python, R & ML

Data Science Business Sr. Consultant (BY/o9)

Data Scientist

Data Scientist

Data Scientist-Artificial Intelligence

Data Scientist-Artificial Intelligence

Principal Data Engineer