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ml engineer

Zyoin Group

<div>
 
 Location:
 
 Bangalore
 
 
 
 Position
 
 :
 
 Senior ML-Engineer
 
 
 Experience:
 
 6-9 years
 
 
 
 Workplace type:
 
 Work From Office
 
 
 
 
 Notice Period- Immediate -30 days
 
 
 
 
 
 
 
 Job Description
 
 
 
 5-7 years of experience in machine learning engineering, with a significant track record in the
 
 
 developing production grade models and model pipelines in a regulated industry such as healthcare.
 
 
 ● Hands-on expertise in working with large language models (e.g., GPT, BERT), computer vision
 
 
 models, and classic NLP technologies.
 
 
 ● Proficient in programming languages such as Python, with extensive experience in ML
 
 
 libraries/frameworks like TensorFlow, PyTorch, OpenCV, etc.
 
 
 ● Strong understanding of deep learning techniques, model fine-tuning, hyper parameter
 
 
 optimization, and model optimization
 
 
 ● Proven experience in deploying and managing ML models in production environments.
 
 
 ● Excellent analytical skills, with a problem-solving mindset and the ability to think strategically.
 
 
 ● Strong communication skills for articulating complex concepts to diverse audiences.
 
 
 ● Working knowledge or experience in MLOps and LLMOps using tools like mlflow, kubeflow
 
 
 ● Working knowledge of basic software engineering principles and best practices
 
 
 ● Demonstrated working knowledge and experience on classic ML techniques and frameworks.
 
 
 ● Nice to have : Knowledge of Cloud vendor based ML Platforms such as Azure ML, Sagemaker
 
</div>

Senior ML Engineer

Data Scientist / ML Engineer

Northern Arc Capital

<div>
 
 
 Northern Arc Capital is hiring for the Bangalore location and is looking for immediate joiners. Candidates with experience in MLOps and Data Analytics will be considered.
 
 
 
 
 
 
 
 Qualifications:
 
 BTech/MTech
 
 
 
 
 
 
 Experience and skills:
 
 
 <ul>
 <li>
 2-4 years of experience in ML Engineering/MLOps/DevOps. Experience in NBFCs, financial services, viz. commercial banking or investment banking is desired.
 </li>
 <li>
 Familiarity with agile methodologies.
 </li>
 <li>
 Strong Python skills, essential for building and automating ML/data workflows.
 </li>
 <li>
 Familiarity with CI/CD pipelines, infrastructure-as-code (IaC), and MLOps/DevOps best practices (monitoring, drift detection, retraining).
 </li>
 <li>
 Knowledge of ML model versioning, deployment, and monitoring (tools like MLflow, Kubeflow, etc.) is highly desirable.
 </li>
 <li>
 Ability to write SQL and NOSQL queries across extensive data volumes.
 </li>
 </ul>
 
 
</div>

Data Analyst

AuxoAI

<div>
 AuxoAI is hiring a Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems, including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Own the full ML lifecycle: model design, training, evaluation, deployment.
 </li>
 <li>
 Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection.
 </li>
 <li>
 Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines.
 </li>
 <li>
 Build agentic workflows for reasoning, planning, and decision-making.
 </li>
 <li>
 Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark.
 </li>
 <li>
 Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines.
 </li>
 <li>
 Collaborate with product and engineering teams to integrate AI models into business applications.
 </li>
 <li>
 Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2+ years of experience in designing, deploying, and scaling ML/DL systems in production.
 </li>
 <li>
 Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
 </li>
 <li>
 Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines.
 </li>
 <li>
 Familiarity with agent-based development (e. g., ReAct agents, function-calling, orchestration).
 </li>
 <li>
 Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows.
 </li>
 <li>
 Strong software engineering background with experience in testing, version control, and APIs.
 </li>
 <li>
 Proven ability to balance innovation with scalable deployment.
 </li>
 <li>
 B. S. /M. S. /Ph. D. in Computer Science, Data Science, or a related field.
 </li>
 <li>
 Bonus: Open-source contributions, GenAI research, or applied systems at scale.
 
 
 </li>
 </ul>
 This job was posted by Anupam Arya from AuxoAI.
</div>

Data Scientist - AI / ML

InvestCloud, Inc.

<div>
 About the Team You will be joining the newly formed AI, Data &amp; Analytics team, primarily responsible as a Data Scientist leading various projects within the small AI team. The new team is focused on driving increased value from the data InvestCloud captures to enable a smarter financial future for our clients, in particular focused on &ldquo;enhanced intelligence&rdquo;. Ensuring we have fit-for-purpose modern capabilities is a key goal for the team.
 
 
 We are seeking a Data Scientist / Machine Learning Engineer with a background in Data Science, Machine Learning, and Generative AI models. The ideal candidate should have a track record in delivering business impact and delighting clients by developing and deploying ML and AI models in production, along with excellent problem-solving skills. In this role, working as part of a team both locally in India and globally, you will integrate AI and ML solutions into the InvestCloud product suite.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Implement applications powered by Generative AI and Machine Learning models and deploy them in production
 </li>
 <li>
 Develop and maintain datasets and data pipelines to support Machine Learning model training and deployment
 </li>
 <li>
 Interpret results from Machine Learning models and communicate findings to both technical and non-technical stakeholders
 </li>
 <li>
 Stay updated with the latest advancements in Machine Learning, natural language processing, and generative AI.
 </li>
 <li>
 Analyze large datasets to identify patterns, trends, and insights that can inform business decisions.
 </li>
 <li>
 Work with 3rd party providers of AI products to evaluate and implement solutions achieving Investcloud&rsquo;s business objectives.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field or equivalent practical experience
 </li>
 <li>
 At least two years of professional experience in Data Science, Machine Learning and AI
 </li>
 <li>
 Outstanding communications skills in English
 </li>
 <li>
 Proficiency in programming in Python
 </li>
 <li>
 Knowledge of Machine Learning frameworks (Scikit-learn) and LLM frameworks (e.g. Langchain)
 </li>
 <li>
 Knowledge of data preprocessing, feature engineering, and model evaluation metrics
 </li>
 <li>
 Experience using large language models, generative AI and agentic frameworks (this may be at work or in personal projects)
 </li>
 <li>
 Experience in database technologies (Oracle, PostgreSQL)
 </li>
 <li>
 Working experience developing and deploying Machine Learning models in production
 </li>
 <li>
 Working experience with Git and Docker
 </li>
 <li>
 Working proficiency in English
 </li>
 <li>
 Ability to work in a fast-paced environment, working across multiple projects simultaneously
 </li>
 <li>
 Ability to collaborate effectively as a team player, fostering a culture of open communication and mutual respect.
 </li>
 <li>
 Practical, get-things done mentality within our controls environment.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Working experience with Vector Database Technologies
 </li>
 <li>
 Experience working with Snowflake and/or Databricks
 </li>
 <li>
 Experience with cloud platforms such as AWS, GCP, or Azure
 
 
 </li>
 </ul>
 
 What Do We Offer
 
 
 
 Join our diverse and international cross-functional team, comprising data scientists, product managers, business analyst and software engineers. As a key member of our team, you will have the opportunity to implement cutting-edge technology to create a next-generation advisor and client experience.
 
 
 Location and Travel The ideal candidate will be expected to work from the office.
 
 
 Compensation The salary range will be determined based on experience, skills, and geographic location.
 
 
 Equal Opportunity Employer InvestCloud is committed to fostering an inclusive workplace and welcomes applicants from all backgrounds.
</div>

Data Scientist

Nokia

<div>
 
 Job Description
 
 
 
 As a Senior Data Scientist focusing on Autonomous Networks at Nokia, you will be a key player on a dynamic team dedicated to revolutionizing telecom services through AI and machine learning. You will work closely with cross-functional teams, including engineers, product managers, and executive stakeholders, to design and implement cutting-edge data-driven solutions tailored for Communication Service Providers. You will engage directly with customers to understand their needs and drive the deployment of scalable AI/ML use cases that enhance network efficiency and performance.
 
 
 
 How You Will Contribute And What You Will Learn
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML solutions for Autonomous Networks (AN).
 </li>
 <li>
 Build and manage cognitive data products for large-scale telecom AI/ML deployments.
 </li>
 <li>
 Research and implement advanced ML techniques to enhance existing systems.
 </li>
 <li>
 Collaborate with CSP customers to create scalable, data-driven solutions.
 </li>
 <li>
 Manage the complete data lifecycle, from ingestion to monitoring and retraining.
 </li>
 <li>
 Serve as a senior subject matter expert for data science and ML in AN, contributing to business development and technology evaluation.
 
 
 </li>
 </ul>
 
 Key Skills And Experience
 
 
 
 You have:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Statistics, Data Science, Mathematics, or a related field.
 </li>
 <li>
 15+ years total experience, including 10+ years in telecom and 5+ years in AI/ML &amp; cloud technologies.
 </li>
 <li>
 Knowledge of telecom network data (OSS/BSS, CDRs, performance, fault, CX data).
 </li>
 <li>
 Expertise in Python, SQL, PySpark, TensorFlow/PyTorch, and Scikit-learn.
 </li>
 <li>
 Experience with Vertex AI, Red Hat OpenShift AI, and Kubernetes.
 
 
 </li>
 </ul>
 It would be nice if you also had:
 
 
 <ul>
 <li>
 Familiarity with network automation, service assurance, and intent-based networking.
 </li>
 <li>
 Pre-sales experience like RFPs, solution demos, customer workshops.
 </li>
 <li>
 Knowledge of Data Mesh, Data Fabric, and MLOps frameworks.
 </li>
 <li>
 Experience with Snowflake, Databricks, Kafka, Flink, Airflow, and visualization tools like Tableau or Power BI.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 
 Come create the technology that helps the world act together
 
 
 
 Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people&rsquo;s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
 
 
 We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
 
 
 
 What we offer
 
 
 
 Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
 
 
 
 Nokia is committed to inclusion and is an equal opportunity employer
 
 
 
 Nokia has received the following recognitions for its commitment to inclusion &amp; equality:
 
 
 <ul>
 <li>
 One of the World&rsquo;s Most Ethical Companies by Ethisphere
 </li>
 <li>
 Gender-Equality Index by Bloomberg
 </li>
 <li>
 Workplace Pride Global Benchmark
 
 
 </li>
 </ul>
 At Nokia, we act inclusively and respect the uniqueness of people. Nokia&rsquo;s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
 
 
 We are committed to a culture of inclusion built upon our core value of respect.
 
 
 Join us and be part of a company where you will feel included and empowered to succeed.
 
 
 
 About The Team
 
 
 
 As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.
</div>

Domain Architect - Data Science

PhonePe

<div>
 
 
 Job Description:
 
 
 
 We are looking for an experienced Data Scientist with 6+ years of experience to join our team and drive impactful data-driven solutions. The ideal candidate will possess deep expertise in machine learning, statistical modeling, and big data processing, along with a proven ability to work with cross-functional teams and effectively communicate insights to stakeholders. This role requires a strategic mindset, strong leadership, and the ability to translate complex data problems into actionable business insights.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead and drive the development of advanced machine learning models to solve high-impact business challenges.
 </li>
 <li>
 Collaborate with stakeholders (business leaders, product managers, engineering teams) to identify opportunities where data science can add business value.
 </li>
 <li>
 Embed yourself with business to understand the strategy and propose data solutions to accelerate outcomes.
 </li>
 <li>
 Design and implement scalable data pipelines and real-time analytics solutions.
 </li>
 <li>
 Guide and mentor data scientists, fostering a culture of innovation and best practices.
 </li>
 <li>
 Conduct deep-dive analyses to extract meaningful insights from complex and large datasets.
 </li>
 <li>
 Ensure machine learning models are explainable, reproducible, and aligned with business objectives.
 </li>
 <li>
 Present findings and recommendations to key stakeholders in a clear and actionable manner.
 </li>
 <li>
 Work closely with engineering teams to deploy ML models into production environments at scale.
 </li>
 <li>
 Own end-to-end model lifecycle management, including data preprocessing, feature engineering, model training, validation, and monitoring.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 
 Bachelor's or Master&rsquo;s degree
 
 in Computer Science, Data Science, Statistics, Mathematics, or a related field (Ph.D. preferred but not mandatory).
 </li>
 <li>
 
 6+ years of experience
 
 in data science, machine learning, or applied statistics. Experience in
 
 financial services, fintech, e-commerce, or similar data-driven industries
 
 .
 </li>
 <li>
 Strong expertise in
 
 Python, SQL
 
 with proficiency in
 
 machine learning frameworks
 
 such as TensorFlow, PyTorch, or Scikit-Learn.
 </li>
 <li>
 Solid understanding of
 
 big data technologies
 
 (Spark, PySpark, Hadoop, or similar).
 </li>
 <li>
 Hands-on experience in
 
 model deployment
 
 using cloud platforms (AWS, GCP, Azure) and ML Ops frameworks (MLflow, Kubeflow, etc.).
 </li>
 <li>
 Expertise in
 
 statistical modeling, predictive analytics
 
 .
 </li>
 <li>
 Experience working with
 
 real-time and batch-processing systems
 
 .
 </li>
 <li>
 Demonstrated ability to
 
 translate business problems into data science solutions
 
 .
 </li>
 <li>
 Excellent problem-solving, critical-thinking, and analytical skills.
 </li>
 <li>
 
 Strong communication and stakeholder management skills
 
 , with the ability to explain technical concepts to non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience in
 
 financial services, fintech, e-commerce, or similar data-driven industries
 
 .
 </li>
 </ul>
</div>

Explore 145+ Ml engineer in Mangaluru this December. Find roles across top companies and apply now to boost your career.

145 ml engineer jobs IN Mangaluru

Senior ML Engineer

Data Scientist / ML Engineer

Data Analyst

Data Scientist - AI / ML

Data Scientist

Domain Architect - Data Science

Data Scientist