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      Urgent! Senior Machine Learning Engineer Job Opening In India, India – Now Hiring Tekion
 
                        
                         We’re Hiring | Senior Machine Learning Engineer – Bangalore
About Tekion
Positively disrupting an industry that has seen little innovation in over 50 years,
Tekion
is redefining automotive retail.Our
Automotive Retail Cloud (ARC) ,
Automotive Enterprise Cloud (AEC) , and
Automotive Partner Cloud (APC)
connect OEMs, retailers, and consumers through one seamless platform.
Leveraging
cutting-edge technology, big data, machine learning, and AI , we’re transforming the automotive retail ecosystem.
With offices in
North America, Asia, and Europe , Tekion employs around
3,000 people
worldwide —inventing new technology, solving complex challenges, and having a blast doing it!
Role:
Senior Machine Learning Engineer
Location:
Bangalore
Key Responsibilities
Execute R&D and product roadmap initiatives based on industry insights and business needs.
Collaborate with stakeholders to align ML solutions with business objectives.
Develop robust APIs and microservices for seamless ML model integration into production systems.
Build feature pipelines for model serving and ensure effective integration with front-end, database, and back-end services.
Mentor and guide machine learning engineers; foster growth through training and collaboration.
Conduct code reviews to maintain quality and best practices.
Manage end-to-end MLOps pipelines for data collection, model training, validation, and monitoring.
Ensure adherence to version control, testing, and model governance best practices.
Implement model compression, quantization, and distributed training techniques.
Track key metrics and optimize models post-deployment.
Collaborate with Cloud Architects and DevOps to design scalable ML infrastructure.
Oversee deployment and management of compute and storage resources for model training and inference.
Work with applied scientists and analysts to convert model requirements into production-ready solutions.
Establish monitoring and alerting systems for deployed models.
Create and maintain documentation for ML architecture and best practices.
Stay current with ML technologies and contribute to continuous improvement efforts.
Required Qualifications
Bachelor’s/Master’s/PhD in Computer Science or related field.
6+ years
of hands-on experience as a Machine Learning Engineer or Architect with a strong portfolio of deployed models (batch, streaming, and real-time).
Proficient in
Python , with experience in
Java or Scala
for production systems.
Familiar with
Kafka, SQS , and MLOps tools like
MLflow, Kubeflow, Airflow .
Experience with
AWS, GCP, Azure , and containerization tools ( Docker, Kubernetes ).
Knowledge of
TensorFlow, PyTorch , and data stores like
Elasticsearch, MongoDB, PostgreSQL .
Skilled in
ETL and data processing tools
(e.g., Apache Spark, Kafka).
Experience with
Grafana
and
Prometheus
for monitoring.
Strong analytical and problem-solving skills.
Preferred Qualifications
Experience in large-scale production systems and distributed computing.
Contributions to open-source projects or active participation in the ML community.
Proven leadership and mentoring experience.
Innovative mindset with a track record of impactful solutions or patents.
Collaborative approach across multiple product and application teams.
A continuous learner with a passion for sharing knowledge.
Perks and Benefits
Competitive compensation
Generous stock options
Comprehensive medical insurance
Work alongside some of the brightest minds from Silicon Valley’s top companies
                      
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Unlock Your Senior Machine Potential: Insight & Career Growth Guide
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Great news! Tekion is currently hiring and seeking a Senior Machine Learning Engineer to join their team. Feel free to download the job details.
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